Ataccama Platform 11 is out


We have just publicly released version 11.0.0 of the Ataccama Platform.

This is a major release and contains multiple new features and bug fixes across the whole platform. See Ataccama 11.0.0 Release Notes for the full list of new features and bug fixes or read on to get an overview of the selected new features.


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As part of this release, we are also sharing upgrade and installation guides. The support team is ready to help with installation and upgrade issues.

Installation and upgrade services for your solution are not covered by the support or maintenance contract, but our experienced team is ready to help with remote upgrades. Contact us to get a quote and expected timing.

Support Notices

Ataccama Platform version 11 does not support Java 7. Upgrade Java on the servers running Ataccama applications to version 8. See the Java upgrade guide for instructions.

The latest supported versions of Ataccama Platform are 11.0.0, 10.6.1, and 9.0.5.

If you need help installing, upgrading, and configuring our products, open a ticket in Helpdesk.

Data Quality Center


You can now uniquely configure resource sets that you associate with different operational environments (e.g., DEV, TEST, and PROD) in the IDE. No need to change the plan definition if you want to test your plan on three different databases: just configure a separate environment for each and switch between them. You can also configure an Environment for BDE to easily switch between local and on-cluster execution.

Server Configuration Editor

Prepare your server configuration directly in the new Server Configuration Editor. No need to write well-formed XML anymore – you can add new server components with a mouse click in the familiar IDE.

Workflows: Better Editor, More Tasks

We have made a lot of small improvements that should make creating workflows much more efficient. We have added tooltips to task properties and a possibility to disable and bypass tasks to make the development as smooth as possible. Furthermore, we have added four new tasks and improved a number of existing ones. And finally, we have developed a logger for workflows. See the release notes for the full list of improvements.

DQ Dashboard

New Application Administration

Welcome the new reworked and enhanced Administration page! We heard your requests and made the configuration of permissions much more granular and flexible. You can also take a small permissions tutorial inside the app. Besides, we’ve moved many application settings like chart colors and DQ thresholds here, too.

DQ Issue Tracker

Validation of Data Types in the App

Not only have we redesigned DQIT, but we have also added on-the-fly validations for numeric data types and convenient selectors for date(time) and boolean data types.

Big Data Engine

Apache Spark Processing for BDE and DQD

Big Data Engine can now process data with Apache Spark as well as with Map-Reduce. If you need to process big data for DQ Dashboard with Spark, it’s possible now, too.

Master Data Center

New Integration Options

We’ve introduced new integration options: Streaming Interface and REST API.


Via the Streaming interface, messages are grouped from a message queue (using JMS) into larger chunks and then transformed to MDC input.


REST API is a complement to SOAP and provides access to MDC Native services like CRUD operations or system task information in the JSON format.

http://localhost:9090/nme-rest/instance/{entity}/{id} PUT, POST, DELETE
http://localhost:9090/nme-rest/instance/{entity}/{origin}/{sourceId} GET, PUT, POST, DELETE

More Parallelism

We’ve improved the way Matching operations are parallelized: from the top level, Partitions, through the Keys, and all the way down to Matching Rules. Based on our benchmarks, this improvement can speed up Matching by 50%.

We’ve also improved the committing phase of the processing, which is now able to not only simultaneously commit multiple data entities, but also concurrently commit to each entity.

New High Availability Concept

We’ve decided to overhaul and improve the way MDC works on clusters with multiple nodes. We are now using Apache ZooKeeper to manage the cluster and the Master (write) node status. Individual MDC nodes have a better awareness of each other and are able to forward any requests to the Master node.

Master Data Admin

Better Stewardship Support

We’ve made the process of working with master data more streamlined and intuitive by improving the business workflow, letting data stewards put important or interesting records into the cart for further actions, and making your drafts easily accessible to you.

More Data Quality

To make data entry in MDA safer, we are bringing two new services to MDA: Validate, which checks the data quality according to the business rules configured for MDC; and Identify, which checks new and edited entries against those in the repository and prevents duplicate entries.

Compare View

The new Compare View lets you compare multiple master entities and their instances side by side for easier decisions on merging and splitting records and defining survivor entries.

Reference Data Manager

On Publish Service

You can now configure a plan exposed as a SOAP-based service, which is executed every time anyone publishes data in RDM. You can select which tables to track and configure the plan in any way you like: for example, notify a consuming database.

Unified Authentication Strategy for RDM Steps

In this version, you can define a connection (URL and credentials) to your RDM web app and use it in all RDM steps for authentication. There is no more need to pass a username and password from a text file or from a web service to RDM steps manually for each plan (although it is still an option).