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<title>Jahnavi Reddy, Author at Datagaps | Gen AI-Powered Automated Cloud Data Testing</title>
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<title>Jahnavi Reddy, Author at Datagaps | Gen AI-Powered Automated Cloud Data Testing</title>
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<title>Datagaps Response to QuerySurge’s Comparison, Claim by Claim</title>
<link>https://www.datagaps.com/blog/datagaps-response-querysurge-claims/</link>
<dc:creator><![CDATA[Jahnavi Reddy]]></dc:creator>
<pubDate>Thu, 05 Nov 2026 09:23:01 +0000</pubDate>
<category><![CDATA[BI Testing]]></category>
<category><![CDATA[Data Validation]]></category>
<category><![CDATA[ETL Testing]]></category>
<category><![CDATA[data validation tools]]></category>
<category><![CDATA[ETL testing tool comparison]]></category>
<category><![CDATA[QuerySurge alternative]]></category>
<category><![CDATA[QuerySurge BI Tester]]></category>
<category><![CDATA[QuerySurge comparison]]></category>
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<description><![CDATA[<p>Datagaps responds to the 15 claims on QuerySurge’s comparison page, checked one by one: which hold up, which miss the mark and what Datagaps does today.</p>
<p>The post <a href="https://www.datagaps.com/blog/datagaps-response-querysurge-claims/">Datagaps Response to QuerySurge’s Comparison, Claim by Claim</a> appeared first on <a href="https://www.datagaps.com">Datagaps | Gen AI-Powered Automated Cloud Data Testing</a>.</p>
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<p><span style="text-decoration: underline; color: #1f9d55;"><a style="color: #1f9d55; text-decoration: underline;" href="https://www.datagaps.com/dataops-suite/" target="_blank" rel="noopener"><span class="TextRun SCXW119078804 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW119078804 BCX8">Datagaps DataOps Suite</span></span></a></span><span class="TextRun SCXW119078804 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW119078804 BCX8"> is an Agentic Data Quality and Reliability Platform that checks, reconciles and tests your data, so every pipeline, report and AI agent runs on data you can prove. Gartner names Datagaps in its Market Guides for DataOps Tools and Data Observability Tools; QuerySurge isn’t listed in either.</span></span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Key Takeaways </h2> </div>
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<ul><li><span data-contrast="auto">This article checks QuerySurge’s 15 statements about Datagaps against product documentation, QuerySurge’s own pages and Gartner research.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><span data-contrast="auto">Buyers bring that page into tool evaluations, so each claim deserves a check against evidence anyone can verify.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><span data-contrast="auto">Two claims are fully accurate. Four don’t match the product: deployment, target users, CI/CD integration and BI testing.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><span data-contrast="auto">QuerySurge offers a larger DevOps API, and the two tools are level on generating tests from mapping documents.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><span data-contrast="auto">Datagaps covers more of the path from source data to final report; a proof of concept on your data confirms it.</span><span data-ccp-props="{"335559739":60}"> </span></li></ul> </div>
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<p><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW82356416 BCX8" style="color: #1967d2;" href="https://www.datagaps.com/request-a-demo/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW82356416 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW82356416 BCX8">See how Datagaps validates your pipelines and reports on your own data →</span></span></a><span class="EOP Selected SCXW82356416 BCX8" data-ccp-props="{"335559739":160}"> </span></span></p> </div>
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<p><span data-contrast="auto">QuerySurge published a page comparing itself with Datagaps across 15 categories, and buyers sometimes bring it into tool evaluations. We checked each statement against current Datagaps documentation, QuerySurge’s own pages, independent reviews and Gartner research. This article is for data architects, QA leads and data engineering managers shortlisting data validation tools.</span><span data-ccp-props="{"335559739":160}"> </span></p><p><span data-contrast="auto">Most of the disagreement comes down to coverage: how much of the path from source data to the final report a tool can test. Where QuerySurge is right, we say so first. Where we disagree, we show what Datagaps does and cite the evidence, so you can check every point yourself.</span><span data-ccp-props="{"335559739":160}"> </span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Where Is QuerySurge's Comparison of Datagaps Accurate? </h2> </div>
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<p><span class="TextRun SCXW153527352 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW153527352 BCX8">Several of QuerySurge’s statements about Datagaps are accurate. Some credit Datagaps directly, and one points to a QuerySurge strength buyers should weigh:</span></span></p><ul><li><b><span data-contrast="auto">Data security: </span></b><span data-contrast="auto">the page notes that the embedded LLM in Datagaps keeps data in the customer’s environment and that Datagaps is SOC 2 Type II certified. Datagaps is also ISO 27001 certified.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><b><span data-contrast="auto">Partner ecosystem: </span></b><span data-contrast="auto">fair by count. Datagaps works with 7 technology partners and 17+ SI partners; QuerySurge lists 100+.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><b><span data-contrast="auto">Ease of use and scope: </span></b><span data-contrast="auto">the page calls the Datagaps interface user-friendly and describes it as a broader, full-lifecycle platform.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><b><span data-contrast="auto">DevOps API: </span></b><span data-contrast="auto">QuerySurge’s API is larger, with 100+ calls by its own count.</span></li></ul> </div>
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<h2 class="elementor-heading-title elementor-size-default">How Do QuerySurge's 15 Claims About Datagaps Hold Up? </h2> </div>
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<p><span class="TextRun SCXW119547280 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW119547280 BCX8">Of QuerySurge’s 15 statements about Datagaps, 2 are accurate, 8 are partly accurate, 1 is outdated and 4 don’t match the product. We read QuerySurge’s page on 30 October and 2 November 2026 and checked each claim against Datagaps documentation, QuerySurge’s product pages, G2, Gartner Peer Insights and two Gartner Market Guides.</span></span></p> </div>
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<th style="text-align:left;">#</th>
<th style="text-align:left;">Category</th>
<th style="text-align:left;">What QuerySurge says</th>
<th style="text-align:left;">What Datagaps does</th>
<th style="text-align:left;">Verdict</th>
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<td style="text-align:left;">1</td>
<td style="text-align:left;">Primary focus</td>
<td style="text-align:left;">"Full lifecycle platform — broader scope, less depth"</td>
<td style="text-align:left;">Broader scope is right: four products in one suite. Depth includes regression packs for ETL and BI, scheduling and bulk baselines.</td>
<td style="text-align:left;">Partly accurate</td>
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<td style="text-align:left;">2</td>
<td style="text-align:left;">Deployment</td>
<td style="text-align:left;">"On-prem & cloud, fewer hybrid options"</td>
<td style="text-align:left;">On-premises, cloud and hybrid; containerized installs; engines on Kubernetes (AKS, EKS, GKE), Databricks, EMR and YARN; AWS and Azure Marketplace.</td>
<td style="text-align:left;">Not accurate</td>
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<td style="text-align:left;">3</td>
<td style="text-align:left;">Target users</td>
<td style="text-align:left;">"Data engineers, analysts"</td>
<td style="text-align:left;">Built for QA teams too, plus data quality analysts and business users, with no-code test building, test plans and regression packs.</td>
<td style="text-align:left;">Not accurate</td>
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<td style="text-align:left;">4</td>
<td style="text-align:left;">Ease of use</td>
<td style="text-align:left;">"UI-driven, more manual setup"</td>
<td style="text-align:left;">AI agents now build tests from mapping documents or code; a drag-and-drop canvas builds multi-source tests.</td>
<td style="text-align:left;">Outdated</td>
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<td style="text-align:left;">5</td>
<td style="text-align:left;">Test automation</td>
<td style="text-align:left;">"Automation present, less mature DevOps API"</td>
<td style="text-align:left;">Scheduling, regression packs, bulk test creation, parallel test plans, REST API and CLI. QuerySurge's API is larger.</td>
<td style="text-align:left;">Partly accurate</td>
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<td style="text-align:left;">6</td>
<td style="text-align:left;">AI capabilities</td>
<td style="text-align:left;">"Embedded LLM, self-healing tests, agentic AI announced 2026"</td>
<td style="text-align:left;">Capabilities named correctly. The AI predates the 2026 agentic layer; Gartner described it in October 2025.</td>
<td style="text-align:left;">Partly accurate</td>
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<td style="text-align:left;">7</td>
<td style="text-align:left;">CI/CD integration</td>
<td style="text-align:left;">"Script-based, no dedicated DevOps API"</td>
<td style="text-align:left;">Built-in Azure DevOps integration (Azure Test Plans, Azure Repos Git) with JUnit results, plus REST API, CLI, Jenkins and GitHub.</td>
<td style="text-align:left;">Not accurate</td>
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<td style="text-align:left;">8</td>
<td style="text-align:left;">Audit & compliance</td>
<td style="text-align:left;">"SOC 2 Type II, ISO 27001, basic audit trail"</td>
<td style="text-align:left;">Certifications right. Exportable audit logs, test and quality-score history, data lineage, audit-ready evidence for SOX, HIPAA and GDPR.</td>
<td style="text-align:left;">Partly accurate</td>
</tr>
<tr>
<td style="text-align:left;">9</td>
<td style="text-align:left;">BI testing</td>
<td style="text-align:left;">"Higher-level BI validation"</td>
<td style="text-align:left;">Compares each visual's data with source, checks measure logic, tests every filter combination, compares how reports look across releases, load-tests and governs BI content.</td>
<td style="text-align:left;">Not accurate</td>
</tr>
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<td style="text-align:left;">10</td>
<td style="text-align:left;">Reusable assets</td>
<td style="text-align:left;">"Limited reusable components"</td>
<td style="text-align:left;">Reusable test cases, rule sets and templates, bulk baselines, and data quality rules cloned across projects.</td>
<td style="text-align:left;">Partly accurate</td>
</tr>
<tr>
<td style="text-align:left;">11</td>
<td style="text-align:left;">Data connectors</td>
<td style="text-align:left;">"Informatica certified, smaller catalog"</td>
<td style="text-align:left;">Informatica certification is right. Both list 200+ sources and targets; Datagaps connects directly to files, databases, NoSQL including MongoDB, cloud storage and APIs.</td>
<td style="text-align:left;">Partly accurate</td>
</tr>
<tr>
<td style="text-align:left;">12</td>
<td style="text-align:left;">Reporting</td>
<td style="text-align:left;">"Standard reporting"</td>
<td style="text-align:left;">Customizable dashboards, data quality scorecards with drill-down, PDF and Excel export, row-level exception downloads.</td>
<td style="text-align:left;">Partly accurate</td>
</tr>
<tr>
<td style="text-align:left;">13</td>
<td style="text-align:left;">Data security</td>
<td style="text-align:left;">"Embedded LLM, data stays local, SOC 2 Type II"</td>
<td style="text-align:left;">Correct; also ISO 27001.</td>
<td style="text-align:left;">Accurate</td>
</tr>
<tr>
<td style="text-align:left;">14</td>
<td style="text-align:left;">Customers</td>
<td style="text-align:left;">"100+ primarily mid-market customers"</td>
<td style="text-align:left;">100+ is right. Gartner cites customers in financial services, healthcare, education, energy, technology, manufacturing and telco.</td>
<td style="text-align:left;">Partly accurate</td>
</tr>
<tr>
<td style="text-align:left;">15</td>
<td style="text-align:left;">Partner ecosystem</td>
<td style="text-align:left;">"Smaller, focused ecosystem"</td>
<td style="text-align:left;">Fair by count: 7 technology and 17+ SI partners.</td>
<td style="text-align:left;">Accurate</td>
</tr>
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</table>
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<h2 class="elementor-heading-title elementor-size-default">Is Datagaps AI "Newer and Less Proven," as QuerySurge Says? </h2> </div>
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<p><span class="TextRun SCXW151123742 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW151123742 BCX8">Partly right on timing, not on proof. Datagaps announced its agentic layer in 2026, but the AI underneath was already in the product. Gartner’s Market Guide for DataOps Tools (October 2025) describes Datagaps AI agents that generate test cases and rules from ETL mapping documents or code.</span></span><span class="EOP Selected SCXW151123742 BCX8" data-ccp-props="{"335559739":160}"> </span></p><p><span class="TextRun SCXW209213119 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW209213119 BCX8">Today that AI works across the testing lifecycle. It builds pipeline tests from mapping documents and updates them when mappings change. It converts Power BI DAX measures into SQL and summarizes report differences. It also recommends data quality rules, detects anomalies and creates synthetic test data with PII masked.</span></span><span class="EOP Selected SCXW209213119 BCX8" data-ccp-props="{"335559739":160}"> </span></p><p><span class="TextRun SCXW245824265 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW245824265 BCX8">Two controls address the “less proven” concern. A person approves every AI-generated change and every decision is logged. The AI also works on metadata and logic rather than the records themselves, with private deployment options. On one task the tools are level: QuerySurge’s Mapping Intelligence also generates tests from mapping documents. The difference is breadth.</span></span><span class="EOP Selected SCXW245824265 BCX8" data-ccp-props="{"335559739":160}"> </span></p> </div>
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<img fetchpriority="high" decoding="async" width="1804" height="872" src="https://www.datagaps.com/wp-content/uploads/AI-Across-the-Testing-Lifecycle.png" class="attachment-full size-full wp-image-64992" alt="" srcset="https://www.datagaps.com/wp-content/uploads/AI-Across-the-Testing-Lifecycle.png 1804w, https://www.datagaps.com/wp-content/uploads/AI-Across-the-Testing-Lifecycle-300x145.png 300w, https://www.datagaps.com/wp-content/uploads/AI-Across-the-Testing-Lifecycle-1024x495.png 1024w, https://www.datagaps.com/wp-content/uploads/AI-Across-the-Testing-Lifecycle-768x371.png 768w, https://www.datagaps.com/wp-content/uploads/AI-Across-the-Testing-Lifecycle-1536x742.png 1536w" sizes="(max-width: 1804px) 100vw, 1804px" /> <figcaption class="widget-image-caption wp-caption-text">Figure 2. Datagaps applies AI across pipeline, BI, data quality and test data work. </figcaption>
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<p><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW24551638 BCX8" style="color: #1967d2;" href="https://www.datagaps.com/data-validation-etl-testing-tools/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW24551638 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW24551638 BCX8">See how Datagaps AI agents build tests from your mapping documents →</span></span></a><span class="EOP Selected SCXW24551638 BCX8" data-ccp-props="{"335559739":160}"> </span></span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Is CI/CD Integration in Datagaps Script-Based? </h2> </div>
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<p><span class="TextRun SCXW236688681 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW236688681 BCX8">No. Datagaps integrates with Azure DevOps out of the box. Teams connect their Azure DevOps organization in DataOps Suite settings, the integration supports Azure Test Plans, and results publish in JUnit format, so tests can gate a release automatically. Datagaps also provides a REST API, a command-line interface, and Jenkins and GitHub integration.</span></span><span class="EOP Selected SCXW236688681 BCX8" data-ccp-props="{"335559739":160}"> </span></p><p><span class="TextRun SCXW179056771 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW179056771 BCX8">Test assets are version-controlled as well. DataOps Suite connects to Azure Repos as a Git provider, so dataflows, DB flows, pipelines and data models can be committed, pulled and synced. Each container maps to one branch, which keeps development, test and production work separate. Gartner’s Market Guide for DataOps Tools also notes webhook integrations with Jenkins and Azure DevOps.</span></span></p><p><span class="TextRun SCXW87539260 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW87539260 BCX8">QuerySurge’s DevOps for Data API is larger, with more than 100 API calls by its own count and integrations with Jenkins, Azure DevOps and GitLab through APIs and webhooks. Teams that build release pipelines around a deep testing API will value that. The disagreement is only with the “script-based” label.</span></span><span class="EOP Selected SCXW87539260 BCX8" data-ccp-props="{"335559739":160}"> </span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">How Does Datagaps BI Validator Compare With QuerySurge BI Tester? </h2> </div>
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<p><span class="TextRun SCXW141193159 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW141193159 BCX8">Both tools compare BI report data with source data. QuerySurge’s BI Tester does this for six BI platforms and runs regression tests on report data. Datagaps BI Validator does the same and goes further in four areas that matter when reports change often or serve many users:</span></span><span class="EOP Selected SCXW141193159 BCX8" data-ccp-props="{"335559739":160}"> </span></p><ul><li><b><span data-contrast="auto">Filter combinations: </span></b><span data-contrast="auto">generates and runs every filter and slicer combination, not one parameter set at a time.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><b><span data-contrast="auto">Visual regression: </span></b><span data-contrast="auto">compares how reports look across releases and environments, with AI-generated summaries of the differences.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><b><span data-contrast="auto">Load testing: </span></b><span data-contrast="auto">simulates concurrent users to measure report response and refresh times.</span><span data-ccp-props="{"335559739":60}"> </span></li><li><b><span data-contrast="auto">BI governance: </span></b><span data-contrast="auto">finds unused measures, duplicate reports and orphaned tables.</span><span data-ccp-props="{"335559739":60}"> </span></li></ul> </div>
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<p><span data-contrast="auto">Gartner’s Market Guide for DataOps Tools notes BI Validator’s regression and filter-level testing, cross-environment comparison and stress testing. QuerySurge’s public material describes data-level regression without visual comparison, which is why “higher-level BI validation” doesn’t describe the difference.</span><span data-ccp-props="{"335559739":160}"> </span></p><p><span data-contrast="auto">For Power BI, BI Validator’s DAX-to-SQL agent translates report measures into SQL, so the logic behind a number can be checked directly against the source database rather than only the value it returns.</span></p> </div>
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<img decoding="async" width="1711" height="919" src="https://www.datagaps.com/wp-content/uploads/BI-Testing-Coverage-Comparison-Table.png" class="attachment-full size-full wp-image-64995" alt="BI Testing Coverage Comparison Table" srcset="https://www.datagaps.com/wp-content/uploads/BI-Testing-Coverage-Comparison-Table.png 1711w, https://www.datagaps.com/wp-content/uploads/BI-Testing-Coverage-Comparison-Table-300x161.png 300w, https://www.datagaps.com/wp-content/uploads/BI-Testing-Coverage-Comparison-Table-1024x550.png 1024w, https://www.datagaps.com/wp-content/uploads/BI-Testing-Coverage-Comparison-Table-768x413.png 768w, https://www.datagaps.com/wp-content/uploads/BI-Testing-Coverage-Comparison-Table-1536x825.png 1536w" sizes="(max-width: 1711px) 100vw, 1711px" /> <figcaption class="widget-image-caption wp-caption-text">Figure 3. BI testing coverage, based on each vendor's public product pages and white papers (November 2026). Both compare report data with source data; the other four capabilities are Datagaps only. </figcaption>
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<p><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW122894882 BCX8" style="color: #1967d2;" href="https://www.datagaps.com/bi-testing-tools/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW122894882 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW122894882 BCX8">See how BI Validator tests every filter combination in your reports →</span></span></a><span class="EOP Selected SCXW122894882 BCX8" data-ccp-props="{"335559739":160}"> </span></span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">What Does QuerySurge's Alternatives Whitepaper Leave Out About Datagaps? </h2> </div>
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<p><span class="TextRun SCXW127198487 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW127198487 BCX8">Most of the platform. QuerySurge’s whitepaper “Best QuerySurge Alternatives for Data Testing in 2026” includes a section titled “Datagaps DataOps Suite”, but it describes only <span style="text-decoration: underline; color: #1967d2;"><a style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/data-validation-etl-testing-tools/" target="_blank" rel="noopener">ETL Validator</a></span>. <span data-teams="true">It accurately credits Datagaps with Gartner recognition as a specialist, a Spark engine for enterprise data volumes, synthetic test data generation, AI-assisted rule authoring and cross-pipeline orchestration.</span></span></span></p> </div>
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<p><span class="TextRun SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW26746966 BCX8">The section doesn’t name </span></span><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW26746966 BCX8" style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/bi-testing-tools/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW26746966 BCX8">BI Validator</span></span></a></span><span class="TextRun SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW26746966 BCX8">, </span></span><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW26746966 BCX8" style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/data-quality-monitoring-tools/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW26746966 BCX8">DataOps Data Quality</span></span></a></span><span class="TextRun SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW26746966 BCX8"> or </span></span><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW26746966 BCX8" style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/test-data-manager/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW26746966 BCX8">Test Data Manager</span></span></a></span><span class="TextRun SCXW26746966 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW26746966 BCX8">, and lists Jenkins and GitHub as integrations without Azure DevOps. <span data-teams="true">It calls Datagaps “narrower on BI and migration coverage”. On BI, it leaves out the report-to-source checks, filter-combination testing and visual regression covered above. On migration, Datagaps <span style="text-decoration: underline; color: #1967d2;"><a id="menura5a" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" style="color: #1967d2; text-decoration: underline;" title="https://datagaps.com/data-migration-testing" href="https://datagaps.com/data-migration-testing" target="_blank" rel="noreferrer noopener" aria-label="Link validates moves">validates moves</a></span> from legacy and on-premises systems to Snowflake, Databricks, Azure Synapse and Microsoft Fabric, compares both environments while they run in parallel, and checks reports after the move.</span></span></span></p> </div>
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<p><span data-teams="true">The paper also points Datagaps at “senior data engineers”, yet credits its rule authoring for working “without deep SQL expertise”. Datagaps tests can be built visually, in SQL or in Python, so QA, BI and data quality teams can build them as well as engineers.</span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">How Should Buyers Verify a Vendor's Comparison Claims? </h2> </div>
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<p><span class="TextRun SCXW149085803 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW149085803 BCX8">Check every vendor comparison, including ours, against sources the vendor doesn’t control. According to Gartner’s Market Guide for DataOps Tools (October 2025), the DataOps tools market grew 21% in 2024 to $424 million, so buyers face more tools and more claims than before. Three questions help:</span></span><span class="EOP Selected SCXW149085803 BCX8" data-ccp-props="{"335559739":160}"> </span></p> </div>
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<td style="text-align:left;">Does it cover your whole data lifecycle, from ingestion through pipelines to BI reports?</td>
<td style="text-align:left;">Ask for a demo across every layer you need, not only the warehouse.</td>
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<td style="text-align:left;">Is it recognized outside its own marketing?</td>
<td style="text-align:left;">Datagaps is the only data pipeline test automation vendor named in both Gartner's Market Guide for DataOps Tools (Oct 2025) and Market Guide for Data Observability Tools (Feb 2026). Check G2 and Gartner Peer Insights too.</td>
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<p><span class="TextRun SCXW28330126 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW28330126 BCX8">QuerySurge’s page counts three Gartner categories for itself and two for Datagaps. Those categories are Gartner Peer Insights listings, which the page itself describes as vendor-nominated; Gartner’s Market Guides are analyst research, and Datagaps is named in two while QuerySurge isn’t named in either.</span></span><span class="EOP Selected SCXW28330126 BCX8" data-ccp-props="{"335559739":160}"> </span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">What's the Takeaway for Teams Evaluating Datagaps and QuerySurge? </h2> </div>
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<p><span class="TextRun SCXW226716615 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW226716615 BCX8">QuerySurge’s comparison page gets several things right: Datagaps security certifications, broad scope and user-friendly interface, and QuerySurge’s larger DevOps API. It falls short in describing Datagaps as it is today, with hybrid deployment, QA-team workflows, built-in CI/CD, AI across the lifecycle and BI testing that goes beyond report data.</span></span></p> </div>
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<div class="elementor-element elementor-element-a2efda2 bi-extra-margin elementor-widget elementor-widget-text-editor" data-id="a2efda2" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
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<p><span class="TextRun SCXW26767142 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW26767142 BCX8">QuerySurge suits SQL-first teams that want a deep testing API inside their release pipelines. Datagaps, an <span style="text-decoration: underline; color: #1967d2;"><a style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/data-quality-ai-readiness/" target="_blank" rel="noopener">Agentic Data Quality and Reliability Platform</a></span>, suits teams that need to test from source to report in one place, with data quality monitoring and test data management alongside pipeline and BI testing.</span></span><span class="EOP Selected SCXW26767142 BCX8" data-ccp-props="{"335559739":160}"> </span></p> </div>
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<p><span data-contrast="auto">If you’re choosing between the two, run both on your own pipelines and reports before you decide.</span><span data-ccp-props="{"335559739":160}"> </span></p><p><span data-contrast="auto">For a full side-by-side comparison, read </span><span style="text-decoration: underline; color: #1967d2;"><a style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/blog/datagaps-vs-querysurge/" target="_blank" rel="noopener">Datagaps vs QuerySurge: A Comparison Guide to Data Validation & Quality.</a></span><span data-ccp-props="{"335559739":160}"> </span></p><p><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW46917583 BCX8" style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/request-a-demo/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW46917583 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW46917583 BCX8">Run a proof of concept on your own data →</span></span></a></span><span class="TextRun SCXW46917583 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW46917583 BCX8"> | </span></span><span style="text-decoration: underline; color: #1967d2;"><a class="Hyperlink SCXW46917583 BCX8" style="color: #1967d2; text-decoration: underline;" href="https://www.datagaps.com/data-ops-suite-trial-request/" target="_blank" rel="noreferrer noopener"><span class="TextRun Underlined SCXW46917583 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW46917583 BCX8">Start a 14-day free trial →</span></span></a></span><span class="EOP Selected SCXW46917583 BCX8" data-ccp-props="{"335559739":160}"> </span></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">See Datagaps validate a QuerySurge-style workload end-to-end on your data </h2> </div>
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<p>Our team will run a live demo against your specific use case — your stack, your data problem, your pipeline.</p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Frequently Asked Questions</h2> </div>
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<div id="faq-1" class="elementor-tab-title eael-accordion-header" tabindex="0" data-tab="1" aria-controls="elementor-tab-content-2261"><h3 class="eael-accordion-tab-title">Is QuerySurge's comparison of Datagaps accurate? </h3><i aria-hidden="true" class="fa-toggle fas fa-angle-down"></i></div><div id="elementor-tab-content-2261" class="eael-accordion-content clearfix" data-tab="1" aria-labelledby="faq-1"><p><span class="TextRun SCXW68849025 BCX8"><span class="NormalTextRun SCXW68849025 BCX8">Partly. Of the 15 statements QuerySurge makes about Datagaps on its comparison page, 2 are accurate, 8 are partly accurate, 1 is outdated and 4 don’t match the product. The four that don’t match cover deployment options, target users, CI/CD integration and BI testing. The claim-by-claim table in this article shows the evidence for each verdict.</span></span><span class="EOP Selected SCXW68849025 BCX8"> </span></p></div>
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<div id="faq-2" class="elementor-tab-title eael-accordion-header" tabindex="0" data-tab="2" aria-controls="elementor-tab-content-2262"><h3 class="eael-accordion-tab-title">Is Datagaps only an ETL testing tool, or does it also test BI reports and data quality? </h3><i aria-hidden="true" class="fa-toggle fas fa-angle-down"></i></div><div id="elementor-tab-content-2262" class="eael-accordion-content clearfix" data-tab="2" aria-labelledby="faq-2"><p><span class="TextRun SCXW113860391 BCX8"><span class="NormalTextRun SCXW113860391 BCX8">Datagaps covers all three. <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/dataops-suite/" target="_blank" rel="noopener">DataOps Suite</a></span>, an Agentic Data Quality and Reliability Platform, includes <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/data-validation-etl-testing-tools/" target="_blank" rel="noopener">ETL Validator</a></span> for pipeline and migration testing, <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/bi-testing-tools/" target="_blank" rel="noopener">BI Validator</a></span> for report testing, <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/data-quality-monitoring-tools/" target="_blank" rel="noopener">DataOps Data Quality</a></span> for data quality scoring and observability, and <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/test-data-manager/" target="_blank" rel="noopener">Test Data Manager</a></span> for synthetic test data. Each product can be bought on its own, and together they connect to 200+ sources and targets.</span></span></p></div>
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<div id="faq-3" class="elementor-tab-title eael-accordion-header" tabindex="0" data-tab="3" aria-controls="elementor-tab-content-2263"><h3 class="eael-accordion-tab-title">Is Datagaps AI proven enough for production data testing? </h3><i aria-hidden="true" class="fa-toggle fas fa-angle-down"></i></div><div id="elementor-tab-content-2263" class="eael-accordion-content clearfix" data-tab="3" aria-labelledby="faq-3"><p><span class="TextRun SCXW55733663 BCX8"><span class="NormalTextRun SCXW55733663 BCX8">The AI is part of the shipping product. Gartner’s Market Guide for DataOps Tools (October 2025) describes Datagaps AI agents that generate test cases and rules from mapping documents or code. A person approves every AI-generated change, every decision is logged, and the AI works on metadata and logic rather than the records themselves. The agentic layer announced in 2026 adds to it.</span></span><span class="EOP Selected SCXW55733663 BCX8"> </span></p></div>
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<div id="faq-4" class="elementor-tab-title eael-accordion-header" tabindex="0" data-tab="4" aria-controls="elementor-tab-content-2264"><h3 class="eael-accordion-tab-title">Is Datagaps recognized by Gartner, and is QuerySurge? </h3><i aria-hidden="true" class="fa-toggle fas fa-angle-down"></i></div><div id="elementor-tab-content-2264" class="eael-accordion-content clearfix" data-tab="4" aria-labelledby="faq-4"><p><span class="TextRun SCXW29461132 BCX8"><span class="NormalTextRun SCXW29461132 BCX8">Gartner names Datagaps in its Market Guide for DataOps Tools (October 2025) and Market Guide for Data Observability Tools (February 2026), making it the only data pipeline test automation vendor in both. QuerySurge isn’t listed in either guide. Both products appear on Gartner Peer Insights, where review counts for each are still small.</span></span><span class="EOP Selected SCXW29461132 BCX8"> </span></p></div>
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<div id="faq-5" class="elementor-tab-title eael-accordion-header" tabindex="0" data-tab="5" aria-controls="elementor-tab-content-2265"><h3 class="eael-accordion-tab-title">Where can I compare Datagaps and QuerySurge side by side? </h3><i aria-hidden="true" class="fa-toggle fas fa-angle-down"></i></div><div id="elementor-tab-content-2265" class="eael-accordion-content clearfix" data-tab="5" aria-labelledby="faq-5"><p><span class="TextRun SCXW49631994 BCX8"><span class="NormalTextRun SCXW49631994 BCX8">Our comparison guide covers both tools across <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/etl-testing-complete-guide/" target="_blank" rel="noopener">pipeline testing</a></span>, <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/bi-testing-complete-guide/" target="_blank" rel="noopener">BI testing</a></span>, <span style="text-decoration: underline;color: #1967d2"><a style="color: #1967d2;text-decoration: underline" href="https://www.datagaps.com/data-quality-observability-guide/" target="_blank" rel="noopener">data quality</a></span>, AI, automation, deployment and licensing. It also shows where QuerySurge fits, such as teams built around its DevOps API and SQL-first workflow, and which kinds of teams each tool suits best.</span></span></p></div>
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<a href="https://www.linkedin.com/in/raj-mohan-achanta-41454b1a2/" >
Raj Mohan Achanta </a>
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<p class="elementor-icon-box-description">
Associate Product Manager, Datagaps </p>
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<p>Associate Product Manager at Datagaps. Shapes the product experience across ETL Validator, BI Validator, and DataOps Data Quality.</p> </div>
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Avinash Keshri </a>
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<p class="elementor-icon-box-description">
Head, Product Marketing </p>
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<p>Head of Product Marketing at Datagaps and IIM Bangalore alumnus. 13+ years of experience in commercializing AI and data platforms across global markets.</p> </div>
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<p>The post <a href="https://www.datagaps.com/blog/datagaps-response-querysurge-claims/">Datagaps Response to QuerySurge’s Comparison, Claim by Claim</a> appeared first on <a href="https://www.datagaps.com">Datagaps | Gen AI-Powered Automated Cloud Data Testing</a>.</p>
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