Ataccama ONE vs DQE One Unify

Ataccama ONE is an agentic data trust platform combining data quality, catalog, observability, lineage, reference data, and master data management. It monitors, cleanses, and standardizes information across systems through reusable rules. Its catalog helps users find, understand, and govern structured and unstructured assets. ONE AI Agent can generate rules, detect anomalies, and resolve issues at the source while showing its reasoning. The platform is data-source agnostic, with connectors for databases, data lakes, warehouses, cloud storage, streams, files, BI tools, and analytics platforms. Ataccama Cloud can process data inside a customer network in hybrid mode and connect to cloud, on-premises, or third-party hosted sources. Security documentation lists AES-256 encryption at rest, TLS 1.3, role-based access, and ISO 27001 and SOC 2 certifications. Pricing is on request, based on named users, data objects, and active data-quality configurations; those limits are soft.

DQE One Unify identifies, merges, and helps prevent duplicate contacts and accounts across customer databases. Duplicate handles existing records in bulk, while Look-Up checks for an existing contact before a new record is created. Processing can be batch or real time, and the engine can run on company platforms or AWS, Azure, GCP, and Heroku. A SaaS option hosts curative processing in DQE’s cloud. For deployments in a customer’s environment, DQE says information is processed there and does not leave the customer’s IT system. The Data Stewardship interface is available in Salesforce through AppExchange, and API access is supported. A free 30-day trial is available, with limits of 200,000 database records, the first 20 duplicate groups in visualization, and the first 20 records for standardization. DQE describes the product for technical, sales, and marketing departments, including projects involving tens of millions of records. Pricing is on request.