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Infosys Data Workbench review

#7 of 31 in Data Cleansing Software

A broad machine-learning data cleansing suite for distributed enterprise data.

8.5/10Editor score
Infosys Data Workbench8.5 Visit Infosys

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Infosys Data Workbench is a data quality and analytical master data management tool for organizations working with distributed, inconsistent, incomplete, or duplicated data. It combines data profiling, downloadable reporting, cleansing, standardization, business-rule validation, anomaly detection, enrichment, deduplication, identity resolution, linking, grouping, and golden-record generation. Its focus suits enterprise data-quality and master-data-management programs that need both analysis and downstream record consolidation.

The feature set is broad rather than limited to basic cleanup. Standardization rules, data validation, and data enrichment support repeatable quality workflows, while machine-learning outlier detection can help identify anomalies and machine-learning enrichment can add information to records. Deduplication and identity resolution address duplicate entities, and linking, grouping, and golden-record generation extend the product into analytical master data management. Apache Spark-based scalable execution is a strong fit for organizations processing large data volumes. Pricing uses a contact-sales model, so evaluation begins with a conversation rather than a published self-serve tier comparison.

Its integration options cover Google APIs, Bing APIs, JDBC-compliant databases, FTP, SFTP, and SCP, giving teams several routes into external services, databases, and file-transfer workflows. The product supports web, Windows, and Linux, with web-based reporting and configuration capabilities. Choose Data Workbench when scalable processing, machine-learning-assisted quality work, and master-data functions belong in the same program. Organizations seeking a narrowly focused cleansing utility or straightforward public pricing may prefer a simpler alternative.

Infosys Data Workbench pros and cons

  • Where it wins
    • Apache Spark-based execution supports large-scale processing
    • Combines cleansing, validation, enrichment, and identity resolution
    • Generates linked, grouped, and golden records
  • Where it doesn't
    • Pricing requires contact with sales
    • Broad capabilities may exceed narrow cleansing needs
    • Configuration and reporting are web-based while execution spans platforms

Infosys Data Workbench fact sheet, pricing and score →

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