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<title>Minu Manisha Babel, Author at Datagaps | Gen AI-Powered Automated Cloud Data Testing</title>
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<title>Datagaps DataOps Suite Is Now a Connected App on the Snowflake® AI Data Cloud</title>
<link>https://www.datagaps.com/blog/datagaps-snowflake-connected-app/</link>
<dc:creator><![CDATA[Minu Manisha Babel]]></dc:creator>
<pubDate>Thu, 12 Nov 2026 10:23:08 +0000</pubDate>
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<description><![CDATA[<p>Datagaps DataOps Suite connects to Snowflake as a Connected App. Validation follows five steps: Connect, Define, Push down, Return, and Act. Trust Your Data Before AI Acts on It. Datagaps is a Snowflake® Select Tier Technology Partner, Snowflake Ready validated, and available in Snowflake Partner Connect. This blog outlines how Datagaps DataOps Suite brings together […]</p>
<p>The post <a href="https://www.datagaps.com/blog/datagaps-snowflake-connected-app/">Datagaps DataOps Suite Is Now a Connected App on the Snowflake® AI Data Cloud</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><em>Datagaps DataOps Suite connects to Snowflake as a Connected App. Validation follows five steps: Connect, Define, Push down, Return, and Act.</em></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Trust Your Data Before AI Acts on It.</h2> </div>
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<p><strong>Datagaps is a Snowflake® Select Tier Technology Partner, Snowflake Ready validated, and available in Snowflake Partner Connect. This blog outlines how Datagaps DataOps Suite brings together automated migration reconciliation, continuous data quality monitoring, pipeline testing, and BI validation (Power BI, Tableau, and more) on a single platform.</strong></p><p>Datagaps DataOps Suite is now available as a Connected App for the Snowflake AI Data Cloud. It gives Snowflake customers an independent trust layer that validates, monitors, and certifies data in their own Snowflake account. <strong>Checks run as pushdown SQL in the customer’s Snowflake account; only results and metrics are returned to Datagaps.</strong></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">This matters more than ever.</h2> </div>
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<p>Every enterprise racing toward AI faces the same uncomfortable truth: AI is only as good as the data beneath it. And right now, most organizations are still flying on hope. Migrations stall because no one can prove parity. Pipelines break silently. Dashboards disagree with the data in Snowflake. And when AI agents start answering questions with confident but wrong answers, the damage is already done.</p><p>Snowflake provides the powerful, governed foundation of the AI Data Cloud. Datagaps provides the independent trust layer that validates that the data is correct, complete, and ready, before analytics, BI, or AI ever touch it. Together, they turn data trust from a bottleneck into an accelerator.</p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Why Datagaps and Snowflake Work Better Together</h2> </div>
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<p>Snowflake is where organizations consolidate their data and launch their AI programs. It delivers elastic compute, strong governance, and AI capabilities through Snowflake Cortex. What has been missing is continuous, independent evidence that the data is trustworthy at every stage.</p><p>That is the gap that Datagaps DataOps Suite fills. Validation runs as pushdown SQL on the customer’s own virtual warehouses, under their existing Snowflake security and governance controls, and only results and metrics are returned to Datagaps.</p><p>Teams get <span style="text-decoration: underline;"><span style="color: #1976d2;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/data-validation-etl-testing-tools/" target="_blank" rel="noopener">full-dataset checks instead of sampling</a></span></span>, audit-ready evidence, and quality gates that plug directly into pipelines and CI/CD.</p><p><strong>Datagaps combines pre-release testing, migration reconciliation, continuous quality monitoring, and BI validation on one platform, with checks executed as pushdown SQL in the customer’s Snowflake account.</strong></p> </div>
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<h2 class="elementor-heading-title elementor-size-default">How Datagaps Works with Snowflake</h2> </div>
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<img fetchpriority="high" decoding="async" width="2400" height="1380" src="https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake.png" class="attachment-full size-full wp-image-65690" alt="Datagaps Works with Snowflake as a Connected App" srcset="https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake.png 2400w, https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake-300x173.png 300w, https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake-1024x589.png 1024w, https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake-768x442.png 768w, https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake-1536x883.png 1536w, https://www.datagaps.com/wp-content/uploads/How-Datagaps-Works-with-Snowflake-2048x1178.png 2048w" sizes="(max-width: 2400px) 100vw, 2400px" /> <figcaption class="widget-image-caption wp-caption-text">Checks are defined in Datagaps and run as pushdown SQL in the customer’s Snowflake account. Only results and metrics are returned to Datagaps, where they drive alerts, CI/CD gates, and trust scores.</figcaption>
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<p>The DataOps Suite runs outside the Snowflake account (as SaaS or in the customer’s own VPC) and connects as a Connected App. Checks run as pushdown SQL in the customer’s Snowflake account, and only results and metrics are returned to Datagaps. The flow is straightforward:</p> </div>
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<p>1.<strong> Connect</strong> – Datagaps authenticates with a least-privilege Snowflake role that honors existing RBAC, masking, and network policies.<br />2. <strong>Define</strong> – Teams create reconciliation, data quality, and observability rules in a low-code interface, with GenAI-assisted test generation subject to user review.<br />3. <strong>Push down</strong> – Each check compiles to SQL and runs on the customer’s virtual warehouse across the Raw, Curated, and Consumption layers.<br />4. <strong>Return</strong> – Pass/fail outcomes, thresholds, metrics, and aggregates come back to Datagaps for reporting and trending.<br />5. <strong>Act</strong> – Alerts, tickets, and CI/CD gates fire, and trust scores are written back to Snowflake for BI tools and Snowflake Cortex AI.</p> </div>
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<p>The integration works with Virtual Warehouses, Dynamic Tables, Streams & Tasks, and Snowpark, and certifies the datasets that feed Snowflake Cortex AI.</p> </div>
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<h2 class="elementor-heading-title elementor-size-default">What Customers Are Achieving</h2> </div>
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<p>Datagaps customers are already using this approach on Snowflake across four high-impact areas.</p> </div>
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<img decoding="async" width="2400" height="1220" src="https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas.png" class="attachment-full size-full wp-image-65696" alt="" srcset="https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas.png 2400w, https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas-300x153.png 300w, https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas-1024x521.png 1024w, https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas-768x390.png 768w, https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas-1536x781.png 1536w, https://www.datagaps.com/wp-content/uploads/Datagaps-customers-are-already-using-this-approach-on-Snowflake-across-four-high-impact-areas-2048x1041.png 2048w" sizes="(max-width: 2400px) 100vw, 2400px" /> <figcaption class="widget-image-caption wp-caption-text">Datagaps validates data at four points in the Snowflake data journey: migration reconciliation, data quality monitoring across the Raw, Curated, and Consumption layers, BI validation, and a trust score check before data reaches Snowflake Cortex AI.</figcaption>
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<h2 class="elementor-heading-title elementor-size-default">Migrate to Snowflake with proof, not hope</h2> </div>
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<h3 class="elementor-heading-title elementor-size-default">Migrate to Snowflake with proof, not hope</h3> </div>
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<p>Manual, sample-based validation is why so many migrations slip. A Fortune 100 financial services company reported <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/fortune-100-financial-services-company/" target="_blank" rel="noopener">automated test coverage across thousands of tables, up to 35% faster migration delivery, and 45–60% less testing effort</a></span></span>. A leading U.S. cereal manufacturer moving from Oracle to Snowflake reported <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/oracle-to-snowflake-etl-validation/" target="_blank" rel="noopener">up to 60% less migration testing time</a></span></span>, and a major research university reported <span style="text-decoration: underline;"><span style="color: #1976d2;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/data-quality-improvement-for-a-major-university/" target="_blank" rel="noopener">$580K in cost savings through validation automation</a></span></span> during its Snowflake migration.</p> </div>
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<h3 class="elementor-heading-title elementor-size-default">Keep every pipeline trusted, continuously</h3> </div>
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<p>Quality rules and anomaly monitors run at every layer, triggered by Streams, Tasks, and Dynamic Tables. An asset management firm running Snowflake, Azure Data Factory, and Power BI reported <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/trust-in-snowflake-data-vault-for-asset-management/" target="_blank" rel="noopener">validation coverage across transformations without disrupting existing pipelines</a></span></span>, and the cereal manufacturer reported a <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/oracle-to-snowflake-etl-validation/" target="_blank" rel="noopener">95% reduction in data quality testing effort</a>.</span></span></p> </div>
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<h3 class="elementor-heading-title elementor-size-default">Validate BI and analytics with trusted data</h3> </div>
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<p><span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/bi-testing-tools/" target="_blank" rel="noopener">Datagaps reconciles Power BI, Tableau, and other reports</a></span></span> directly against Snowflake data. A research university used report-to-query comparisons and visual validation across releases and reported a <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/data-quality-improvement-for-a-major-university/" target="_blank" rel="noopener">66% reduction in data validation resources</a></span></span>.</p> </div>
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<h3 class="elementor-heading-title elementor-size-default">Make data AI-ready before AI acts on it</h3> </div>
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<p>A trust score gates which datasets are promoted for Snowflake Cortex AI and downstream agents, so AI works from data that has passed validation. Learn more about validating <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/ai-ready-data/" target="_blank" rel="noopener">AI-ready data</a></span></span>.</p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Customer Use Case</h2> </div>
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<p>A Fortune 100 financial services company set out to migrate complex mainframe and Oracle data to Snowflake. Datagaps automated migration validation and reconciliation, generated tests at scale across thousands of tables, and enabled end-to-end testing across its Medallion architecture in Snowflake. The company reported <span style="text-decoration: underline;"><span style="color: #1976d2;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/case-study/fortune-100-financial-services-company/" target="_blank" rel="noopener">automated test coverage, up to 35% faster migration delivery, and 45–60% less testing effort</a></span></span>.</p> </div>
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<h2 class="elementor-heading-title elementor-size-default">Ready to Build Trust into Your Snowflake Environment?</h2> </div>
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<p>Whether you are migrating to Snowflake, scaling pipelines, validating BI dashboards, or preparing data for AI, Datagaps provides the independent proof layer that runs securely against your own Snowflake account.</p><p>The Datagaps DataOps Suite brings together automated migration reconciliation, continuous data quality monitoring, pipeline testing, and BI validation (Power BI, Tableau, and more) on a single platform. Checks run as pushdown SQL in your Snowflake account, and only results and metrics are returned to Datagaps, so you get <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/data-validation-etl-testing-tools/" target="_blank" rel="noopener">full-dataset checks</a></span></span>, audit-ready evidence, and quality gates.</p><p>Learn more about how Datagaps works with Snowflake, from source systems through Snowflake to BI and AI, on the <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/snowflake-testing-automation/" target="_blank" rel="noopener">Datagaps for Snowflake page</a></span></span>. You can also <span style="text-decoration: underline;"><span style="color: #1976d2; text-decoration: underline;"><a style="color: #1976d2; text-decoration: underline;" href="https://www.datagaps.com/request-a-demo/" target="_blank" rel="noopener">request a demo</a></span></span> or speak with your Snowflake account team about the Datagaps DataOps Suite.</p> </div>
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/>Snowflake as an AI cloud data platform presents key advantages over traditional on-premises data warehouse technologies. However, migrating to Snowflake requires careful planning and execution. Datagaps helps simplify this process by automating data migration testing and analytics regression testing. Using our validation, customers have successfully validated billions of records and thousands of reports. We look forward to helping more Snowflake customers through this partnership.<img decoding="async"
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<p>The post <a href="https://www.datagaps.com/blog/datagaps-snowflake-connected-app/">Datagaps DataOps Suite Is Now a Connected App on the Snowflake® AI Data Cloud</a> appeared first on <a href="https://www.datagaps.com">Datagaps | Gen AI-Powered Automated Cloud Data Testing</a>.</p>
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