Ataccama

Founded by Michal Klaus in 2007

Monitor data quality, track lineage, and govern business datasets for enterprise analytics

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Ataccama to centralize data quality, observability, governance, and master data management across complex enterprise systems. The tool automatically profiles incoming datasets, detects anomalies, and resolves duplicate business records. Teams can build a searchable data catalog, trace data lineage from raw sources into cloud lakehouses, and verify data accuracy before feeding autonomous models or operational reports. It connects directly with systems like Snowflake and Databricks to track health, enforce compliance policies, eliminate manual data cleaning, and maintain reliable company records.

What Ataccama does

Create automated data validation rulesDetect schema changes and pipeline anomaliesResolve duplicate records across multiple databasesGenerate visual data lineage diagramsAssign data stewardship roles and ownershipCalculate data trust and readiness scoresCatalog enterprise metadata across cloud warehousesAutomated data profiling and anomaly detection across repositoriesMaster data management with automated entity resolutionEnd-to-end data lineage tracking from source to reporting layersSearchable enterprise data catalog with metadata taggingContinuous data observability across cloud data warehousesData Trust Index scoring to verify dataset reliabilityAutomated rule-based data cleansing and validation

Pricing breakdown

Pricing model: Book a demo

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Frequently asked

Databricks Workday

PostgreSQL Slack

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