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Ataccama

by Ataccama · Master Data Management

Unified AI-powered platform for data quality, master data management and governance.

Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.

Works with
SAPOracleNetSuiteWorkday
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.

Modules & capabilities

Ataccama covers 32 of 58 capabilities we track in this category

55%
  • Multi-domain masteringMultidomain mastering across customer, product and supplier domains
    Core strength
  • Customer / party domain mastering
    Supported
  • Product domain mastering
    Supported
  • Supplier / vendor domain mastering
    Supported
  • Financial master data domain
    Not evidenced
  • Flexible / no-code data modeling
    Not evidenced
  • Hierarchy & relationship management
    Not evidenced
  • Prebuilt industry data models
    Not evidenced

“Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.

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

SAPAtaccama ONE — SAP JDBC connectivity
Open API
Bi-directionalCustomer recordsMaterial/product recordsVendor records

JDBC connectivity to SAP S/4HANA and relational SAP databases for profiling, DQ and MDM provisioning; no named/certified SAP connector or marketplace listing publicly documented.

Oracle Fusion CloudAtaccama ONE — Oracle DB connectivity
Open API
Bi-directionalMaster data records

Direct JDBC connectivity to Oracle DB for profiling, quality checks and MDM provisioning; generic database connectivity rather than a certified Oracle connector.

Connector details independently verified against vendor marketplaces and documentation; last checked 2026-08-11.

Pricing

Model
Quote-based
Free trial
Yes

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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