ibi Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines augmented data quality (ADQ) solutions as a set of capabilities that deliver advanced features to streamline the identification of quality issues, offer context-aware suggestions for corrective actions, and automate key data-quality processes to ensure cleaner, more reliable data. These purpose-built data-quality solutions support profiling and monitoring, rule discovery and creation, active metadata use, data transformation, data remediation, matching, linking and merging, and role-based usability. The solutions have AI-assistant-enabled features that enhance user experience.

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Find the top Augmented Data Quality Solutions with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

Augmented Data Quality Solutions (Transitioning to Data Quality Solutions)

Augmented Data Quality Solutions

ibi Omni-Gen

ibi Data Quality

Solution Architect

One of the best Data Quality tools that I have used. Very small learning curve, was able to pick up and use it on the first day. Also extremely powerful, the team has been able to use it for complex data quality analysis as well as aiding document scraping activities. The ability to do a quick profile on the data for look for patterns has been invaluable too. 

1B - 3B USD

10B - 30B USD

<50M USD

250M - 500M USD

500M - 1B USD

Gov't/PS/ED 5,000 - 50,000 Employees

50M - 250M USD

Gov't/PS/ED <5,000 Employees

3B - 10B USD

Gov't/PS/ED 50,000 + Employees

Master Data Management And Quality Architect

The product is excellent, but the documentation/support lacking.

Salesforce (Informatica)

Other...

Qlik (Talend)

Microsoft

Oracle

Syniti

Ataccama

Innovative Systems

Redpoint

Syncsort (Trillium Software)

Collibra

helpIT

Data Quality Software Developer

Bluesky is a firm that specializes in enhancing data cloud efficiency. The enterprise provides an updated data infrastructure that significantly improves the speed and cost-effectiveness of querying and analytics over data clouds. A key focus area for Bluesky is to aid in the management of data cloud expenses, better productivity for data analysts and data scientists, and to reduce complexity for data engineers. The company team consists of innovative industry professionals with vast experience across numerous significant industry sectors. Bluesky was initiated by a highly capable and experienced team that received both VC and angel support in Enterprise, Data, and Machine Learning sectors.

Bluesky is a pioneer in Data Cloud Efficiency, delivering next-gen data infrastructure on clouds. We focus on making querying & analytics faster and cheaper over data clouds, helping CIOs and senior management optimize their data cloud costs, data analysts and data scientists improve productivity, and data engineers reduce complexity. 

We are industry experts and innovators with product building and leadership experiences across Apple, Facebook, Google, Microsoft, Netflix, Palantir, Twitter, Uber, Vertica, Yahoo and other leading companies in their sectors. Our founding team is backed by top tier VCs and angels in Enterprise, Data and Machine Learning. 

Bluesky

Reviews

Ratings Overview

Overall experience with

Favorable Review

Data Quality Suite is a powerful, fun and exciting tool to use

Critical Review

Excellent product once in production, but development process can be difficult.

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