Ataccama
by Ataccama · Master Data Management
Unified AI-powered platform for data quality, master data management and governance.
- Works with
- SAP, Oracle, NetSuite, Workday
- Deployment
- Cloud, On-premise, Hybrid
- Company size
- Mid-market, Enterprise
- Pricing
- Quote-based
- Founded
- 2007
- Headquarters
- Toronto, Canada (R&D headquartered in Prague, Czech Republic)
Overview
Ataccama ONE is a unified data trust platform that combines data quality, master data management (MDM), data catalog, data lineage, reference data management and data observability in a single environment. It is positioned as an "agentic data trust" platform, layering an AI Agent that acts as a digital data steward to automate rule creation, monitoring and remediation across an organization's data estate.
The MDM module supports multidomain mastering (customer, product, supplier and other entities), using an AI-assisted matching engine to deduplicate and merge records into golden records, with configurable stewardship workflows for review, merge and split operations. Ataccama is data-source agnostic: it connects to relational databases (including SAP S/4HANA, Oracle DB, Microsoft SQL Server, Teradata) via JDBC, to cloud data warehouses such as Snowflake, Databricks, Amazon Redshift, Azure Synapse and BigQuery, and to enterprise applications including Salesforce, Workday and NetSuite. Data is distributed to downstream systems through batch loads, real-time REST/SOAP APIs, or streaming (Kafka, JMS, AWS SQS).
Ataccama serves large and mid-size enterprises across financial services, insurance, manufacturing, telecom and other data-intensive industries, and reports over 200 customers including T-Mobile, Fifth Third Bank, Prudential and Allianz. The company was founded in 2007 in Prague, Czech Republic, is now headquartered in Toronto, Canada, retains its largest R&D center in Prague, and has been named a Leader in the Gartner Magic Quadrant for Augmented Data Quality Solutions for five consecutive years.
Screenshots & demo
Demo video from the vendor's YouTube channel.
Features & capabilities
Data Quality
Automated rule-based checks, monitoring and remediation across data sources.
- 300+ built-in data quality functions
- AI-assisted rule creation and testing (ONE AI Agent)
- Anomaly detection and automated remediation
- Data profiling and standardization
- Rule reusability across projects and domains
Master Data Management
Multidomain mastering to build and maintain trusted golden records.
- Multidomain mastering (customer, product, supplier)
- AI-powered record matching and deduplication
- Golden record creation and survivorship rules
- Data stewardship workflows (merge, split, review)
- Two-way synchronization to downstream systems
Data Catalog & Lineage
Automated discovery, cataloging and end-to-end lineage tracking.
- Automated data discovery and classification
- Business glossary and data marketplace
- End-to-end data lineage from source to consumption
- Metadata management
- Data marketplace for self-service access
Data Observability
Continuous monitoring of critical data pipelines and sources.
- Freshness, volume and schema drift monitoring
- Automated alerting on data anomalies
- Pipeline health monitoring
- Data Trust Index scoring for AI-readiness
Reference Data Management
Centralized management and distribution of reference/code data.
- Reference data validation and versioning
- Distribution of trusted reference data to consuming systems
- Mapping between internal and external code sets
Connectivity & Integration
Broad connector library spanning databases, warehouses and enterprise apps.
- JDBC connectivity to SAP S/4HANA, Oracle DB, SQL Server, Teradata
- Native connectors for Snowflake, Databricks, Redshift, Synapse, BigQuery
- REST and SOAP APIs for real-time integration
- Streaming integration via Kafka, JMS, AWS SQS
- Batch, online and hybrid deployment modes
- 300+ system connector library
Common use cases
- Building a single source of truth for customer, product and supplier master data across SAP and other systems
- Automating data quality rule creation and remediation with an AI agent instead of manual rule-writing
- Deduplicating and merging customer records from multiple CRM and ERP sources into golden records
- Tracking end-to-end data lineage from SAP or Oracle source tables through transformation to reporting layers
- Monitoring data pipelines for freshness and anomaly issues before they reach analytics or AI models
- Distributing cleansed, validated reference data (e.g., product hierarchies) to downstream applications
- Preparing enterprise data for trusted use in AI/ML models via a real-time Data Trust Index
Strengths & considerations
Strengths
- Single platform combining data quality, MDM, catalog, lineage, observability and reference data management rather than separate point tools
- AI Agent that automates data quality rule creation, testing and remediation as a 'digital data steward'
- Data-source-agnostic architecture with 300+ connectors spanning on-prem databases, cloud warehouses and enterprise applications
- Five-time Leader in the Gartner Magic Quadrant for Augmented Data Quality Solutions
ERP integrations
Connects to SAP S/4HANA and relational SAP databases for data quality, MDM and lineage use cases
Direct connectivity to Oracle DB for profiling, quality checks and MDM provisioning
Pricing
No public price list; cost depends on modules deployed (data quality, MDM, catalog, observability), data volume and deployment model (cloud or on-premise). Ataccama offers a free trial/demo on request. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- SaaS or self-managed (cloud, on-premise, hybrid deployment options)
About the vendor
- Founded
- 2007
- Headquarters
- Toronto, Canada (R&D headquartered in Prague, Czech Republic)
- Employees
- ~500
- Ownership
- Private (venture-backed)
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Ataccama — frequently asked questions
Does Ataccama integrate with SAP?
Yes. Ataccama connects to SAP S/4HANA and other SAP relational databases via JDBC, enabling data quality checks, master data mastering and lineage tracking against SAP data.
Does Ataccama integrate with Oracle?
Yes. Ataccama uses JDBC connectivity to connect directly to Oracle databases for profiling, data quality rules and MDM data provisioning.
How is Ataccama priced?
Ataccama does not publish list pricing. Cost is quote-based and depends on which modules are deployed (data quality, MDM, catalog, observability, reference data), data volumes, and whether the deployment is cloud, on-premise or hybrid. A trial/demo is available on request.
What is Ataccama ONE?
Ataccama ONE is the company's unified platform combining data quality, master data management, data catalog, lineage, observability and reference data management, with an AI Agent that automates rule creation and data stewardship tasks.
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