Ataccama logo

Ataccama

Growth

Ataccama is an enterprise data quality and governance platform combining AI-powered data profiling, master data management, and catalog capabilities in a unified product.

Best for: Data Quality & Governance Platform
54
AI Score
Grade C
AI Visibility Score (Beta)
Data & AnalyticsData Quality & Governance PlatformWebsiteUpdated October 2026

Brand Intelligence Graph

Capabilities
Data Quality & Governance Platform

Company Overview

About Ataccama

Ataccama is an enterprise data quality and governance platform that combines AI-powered data profiling and quality management, master data management, and data catalog capabilities into a unified product designed to address the full set of data trustworthiness challenges that organizations face when building analytics and operational data programs on unreliable data foundations. The platform's data quality engine profiles data assets automatically upon connection, identifying data type anomalies, pattern violations, null rates, referential integrity failures, and statistical outliers that indicate data quality issues, and then allows data quality teams to define business rules and threshold-based quality checks that run continuously against connected data sources to detect quality degradation in production data pipelines. This combination of automated profiling and rules-based monitoring provides both discovery of existing quality problems and ongoing detection of new issues introduced by upstream data changes.

Business Model & Competitive Advantage

Ataccama's master data management capabilities address the challenge of conflicting and duplicate records across source systems — customer records that exist in CRM, ERP, and billing systems with inconsistent formats and identifiers — by providing a matching and merging engine that creates consolidated master records with a single authoritative view of customers, products, suppliers, and other key business entities. The data catalog layer surfaces the data landscape with business context and ownership assignments, connecting the quality and MDM capabilities to a searchable catalog interface that data consumers can use to assess data trustworthiness before using assets in analytics. Ataccama's AI-driven data quality capabilities use machine learning to detect quality anomalies that rule-based checks miss and to suggest data quality rules based on patterns observed in the data.

Competitive Landscape 2025–2026

Ataccama is headquartered in Prague, Czech Republic with offices in Toronto and North America, and serves enterprise customers in financial services, retail, healthcare, and manufacturing that manage complex multi-source data environments with significant master data management and quality governance requirements. The platform competes with Informatica, Talend, and Collibra in the data quality and governance market, differentiating through its unified approach that combines data quality, MDM, and catalog in a single platform rather than requiring organizations to integrate separate best-of-breed products.

Headquarters
Prague, Czech Republic
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Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

54
→ Stable

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