Enhancing Data Quality & Governance with Automated Validation

Datagaps is an end-to-end data validation and observability platform. We automate testing and monitoring of data as it flows from source systems through ETL pipelines, BI dashboards, and into AI models — all on a single integrated platform with shared rules, unified lineage, and one dashboard. Datagaps is the only platform recognized in both Gartner’s DataOps Tools and Data Observability Tools Market Guides, with a US patent, Informatica certification, and SOC 2 Type II security. Founded 2010. 70+ enterprise customers including 97% of the Fortune 100.

Datagaps is the only platform covering the full data lifecycle — ingestion → ETL → data quality → BI → AI — in one system. QuerySurge and iceDQ test ETL only. Datafold focuses on migration. Monte Carlo covers observability only. None are recognized by Gartner in both DataOps and Data Observability — Datagaps is. Additionally, Datagaps offers self-healing tests via an embedded LLM that keeps your data inside your environment, an Informatica certified-partner seal, and a US patent on the validation methodology.

Across 70+ enterprise customers: $5.3M average annual savings, 70% reduction in ETL validation spend, 80% faster testing turnaround, and 35% reduction in project timelines. ZS Associates validated 100% of records in a Snowflake migration and cut QA cycle time by 70%. Broadcom freed their IT department from manual test scripting entirely. Most customers achieve time-to-first-value within 2 hours of trial start.

Yes. Datagaps holds SOC 2 Type II and ISO 27001 certifications. The embedded LLM runs inside your environment — no data is sent to external AI services during testing or monitoring. Datagaps supports HIPAA-compliant test data generation, GDPR-compliant data masking, and PII protection across all four products. Deployed by organizations in banking (NatWest, Discover), healthcare (Amgen, UnitedHealthcare), and life sciences (NYU, UC Davis) — among the most regulated industries globally.

Yes. Datagaps connects natively to 200+ data sources including cloud data warehouses (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift), BI platforms (Power BI, Tableau, Oracle Analytics), file stores (AWS S3, Azure Data Lake, Google Cloud Storage), CRMs (Salesforce), governance tools (Collibra, Unity Catalog), and CI/CD systems (Azure DevOps, GitLab, GitHub, Jenkins). No custom connector engineering required.

For a single product (e.g., ETL Validator), most customers run their first validation within 2 hours of trial start — drag-and-drop test case builder, no coding required. For full DataOps Suite enterprise deployment, time-to-first-value is typically days, not weeks, and broad rollout is weeks, not quarters. Datagaps’ Customer Success team supports rollout end-to-end at no additional cost.

Yes — a 14-day free trial is available on every product, no credit card required. You can extend by an additional 14 days on request. Your data stays inside your environment during the trial — the embedded LLM means nothing is sent to external AI services during your evaluation.