Datagaps DataOps Suite
Founded in 2010, Datagaps is a US-based enterprise software company headquartered in Herndon,VA. Datagaps is the only vendor recognized by Gartner in BOTH the DataOps Tools market guide AND the Data Observability market guide — a distinction no other data testing platform holds. WHAT WE DO Datagaps makes data trustworthy across the entire pipeline — from data ingestion and ETL/ELT transformations, through dataops data quality, to BI dashboard validation and AI model input testing — on a single, unified DataOps Suite platform. THE PROBLEM WE SOLVE Enterprise data teams lose an average of $15M annually to poor data quality (Source: Gartner). 70% of data migration failures surface post go-live. 59% of organizations cannot quantify their own BI consistency gap. Datagaps eliminates these risks with automated, end-to-end validation that detects issues before they reach production. HOW WE'RE DIFFERENT Unlike point tools that test one stage, Datagaps covers every layer — ETL pipelines, data quality and consistency, semantic validation, BI dashboards, and AI/ML inputs — from a single platform with shared rules, one audit trail, and one vendor. Agentic AI auto-generates tests, self-heals schema drift, summarizes report differences, and recommends smart quality rules. OUTCOMES DELIVERED 500B+ Records validated across ETL & cloud pipelines 10M+ Automated test cases run with zero manual scripting 80% Faster test cycles vs. manual testing approach 60% Reduction in data errors detected before production 70% Reduction in ETL validation spend 200+ Native data source connectors Trusted by 100+ enterprise customers across Financial Services, Healthcare, Life Sciences, FMCG, Retail, Higher Education PRODUCTS AND PLATFORM • DataOps Suite — Unified platform for end to end data validation and analytics testing powered by Agentic AI • ETL Validator — Automated ETL/ELT testing with Agentic AI; 200+ native connectors • BI Validator — Automated BI report validation for Power BI, Tableau, Oracle Analytics • DataOps Data Quality — Proactive data quality with Agentic AI: Predict, Prevent, Govern • Test Data Manager — Compliant and realistic test data generation with Agentic AI TECHNICAL CREDENTIALS SOC 2 Type II | US Patent (ELV architecture) | Informatica Certified | Embedded LLM (data stays in your environment) | Gartner DataOps Tools Guide | Gartner Data Observability Guide INTEGRATIONS 200+ Snowflake, Databricks, Azure Synapse, Amazon Redshift, Google BigQuery, Salesforce, Microsoft Power BI, Tableau, Oracle Analytics, Informatica, Talend, SSIS, dbt
Average Rating: 4.5/5.0
Total Reviews: 10
How Do G2 Users Rate Datagaps DataOps Suite?
- Reliability: 8.9/10 (Category avg: 8.7/10)
- Thoroughness: 7.9/10 (Category avg: 8.7/10)
- Test Feedback: 8.9/10 (Category avg: 8.8/10)
- Has the product been a good partner in doing business?: 9.6/10 (Category avg: 9.2/10)
Who Is the Company Behind Datagaps DataOps Suite?
- Seller: Datagaps
- Year Founded: 2010
- HQ Location: Herndon, US
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LinkedIn® Page: www.linkedin.com
131 employees on LinkedIn®
Who Uses This Product?
- Company Size: 64% Large, 18% Medium
What Do G2 Reviewers Say About Datagaps DataOps Suite?
AI-generated summary from verified user reviews
Pros
- Users value the ease of use of Datagaps DataOps Suite, appreciating its seamless integration and flexibility across data sources.
- Users appreciate the automation capabilities of Datagaps DataOps Suite, enabling efficient data operations and seamless integration.
- Users value the improved data quality from Datagaps DataOps Suite, enhancing analytics and decision-making confidence.
- Users value the easy integrations of Datagaps DataOps Suite, enabling efficient automation and seamless connections with various platforms.
- Users appreciate the comprehensive features of Datagaps DataOps Suite, enhancing flexibility and integration across diverse data sources.
Cons
- Users find the complex setup of Datagaps DataOps Suite time-consuming, despite its reliable performance once established.
- Users find dependency issues problematic, wishing for automated options and better dataflow integration features.
- Users find the difficult setup of Datagaps DataOps Suite time-consuming but appreciate its reliable performance thereafter.
- Users find the lack of automation for job cleanup and dataflow dependencies limits the tool's efficiency.
- Users note a significant learning curve for teams adapting to DataOps practices, impacting smooth transition and efficiency.
What Are Recent G2 Reviews of Datagaps DataOps Suite?
"User-Friendly Experience with Great Support and Smooth Integration"
Rating: 4.0/5.0 stars
— Gajendra C.
"Strong QA automation, but Git Sync needs work"
Rating: 4.0/5.0 stars
— Verified User in Hospital & Health Care

