About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Ataccama Upgrades Data Catalog, Adds Data Observability, Offers Data Quality for Snowflake in Latest Release of Ataccama ONE Platform

Subscribe to our newsletter

Ataccama, provider of a unified data management platform, has released early access to version 14 of its Ataccama ONE platform. At the heart of the release is an upgraded data catalog with greater capabilities for collaboration, compliance and data activation, as well as a new data observability module built for enterprise use. The release also adds end-to-end data quality and observability to native processing on Snowflake.

Ataccama was founded in 2007 as a spin-off from data and systems integrator Adastra, and  most recently secured its first external funding round of $150 million from Bain Capital Tech Opportunities, which took a minority investment in the company. The company’s platform enables enterprise data democratisation with a unified approach to automated data quality, master data management and metadata management across cloud and hybrid environments.

“With the release of version 14 of Ataccama ONE, we are bringing our customers more versatility in the platform,” says Martin Zahumensky, chief product technology officer at Ataccama. “The update offers users streamlined access to enterprise data assets, in addition to the ability to better collaborate on data governance tasks, explore data, create custom visualisations and metrics, and use data more effortlessly and productively on a daily basis. It’s an important step to supporting our mission for data-driven innovation and data democratisation.”

The version 14 enhancement of the Ataccama ONE data catalog offers new features for enterprise-wide collaboration, asset sharing, governance, compliance and data activation while maintaining automated capabilities for data classification and data quality management. Among the new features are a revamped permission model for both curated and federated data governance models to better support decentralised approaches to data such as data mesh. A visual data explorer allows users to explore data and create data visualiations and custom metrics directly within the data catalog, and the addition of ONE Data enables users to collaborate and create managed data sets and reference data directly from the catalog, with built-in validation and governance.

The data observability module allows system owners, data engineers and data stewards to monitor data systems with minimal configuration and AI-powered and metadata-driven data quality management features. They can gain insights into the health of data systems, alert users to data quality issues, anomalies, schema changes or abnormal changes in data volumes, and investigate and fix issues before they move further along the data pipeline. The module is available as part of the Ataccama ONE platform and as a standalone SaaS solution.

The version 14 release also brings to market an enterprise data quality and observability solution engineered to use the Snowflake workload via native processing through Snowpark, which allows developers to bring their favorite tools and deploy them in a serverless way to Snowflake’s virtual warehouse compute engine. Ataccama uses Snowpark to execute data profiling, data quality checks and data observability jobs natively in Snowflake, providing performance benefits and eliminating the need to move data out of Snowflake. The version 14 release also includes ONE Portal, a new cloud gateway for Ataccama users that provides fully self-service access to their products.

Michal Klaus, CEO at Ataccama, concludes: “For Ataccama, 2022  has been a year of major growth. We have seen a significant increase in our client base, and doubled the size of our R&D team. This leap forward has been fuelled by growing global demand for advanced data management, as well as our recent growth capital investment from Bain Capital Tech Opportunities.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

Why AI is Making Data Ownership a Business Imperative

By Edgar Randall, UK&I Managing Director, Dun & Bradstreet. As AI becomes the engine of modern business, the question of verifiable data ownership is no longer theoretical, it’s central to how organisations build trust in AI-driven decisions. The rise of AI means models depend entirely on the quality and integrity of the data they consume....

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...