Self-Driving Data Quality Management
Quickly understand the state of your data, validate & improve it, prevent bad data from entering your systems, and continuously monitor data quality. With minimal effort.
Ataccama ONE automates data quality management. Just connect your source.
Data quality without the extra work—leverage AI for instant results.
Smart & fast data quality management, with a friendly user experience.
Works without rules
Automatically spot potential issues in your data on the fly.
Rule definitions ready?
Automated DQ rules
Our self-learning engine detects data domains and business terms, and assigns data quality rules automatically from a rule library.
Continuous data quality
Automatically detect changes and improve quality over time. Take action if needed.
Data quality is applied everywhere, from data lineage to business domains, MDM, and more.
Customize as needed
Modify rules in a user-friendly interface with sentence-like conditions or with our rich expression language.
Super fast data quality
Get started quickly and process any volume of data fast, on prem or in the cloud.
And much more
Built for all data people
Ataccama ONE is built for fast analytical teams, highly regulated governance teams, and technical data teams alike.
Business users can do their job better & faster when they trust the data in their organization, see how it’s used, and if the quality improves over time.
A Leader in the 2022 Gartner Magic Quadrant® for Data Quality Solutions™
Download your complimentary copy and see what sets Ataccama apart.Download
Everything you need to ensure data quality
Data quality evaluation, monitoring & reporting
Easily evaluate and start monitoring data quality in your systems directly from the data catalog. See all data quality controls, trends, and anomalies in one place.
Data quality firewall
Prevent bad data from entering your systems. Publish any DQ pipeline as a web service and use it from your own application to validate, cleanse, or enrich data with user input.
Easily join and transform data with interactive visual transformations, modify data on the fly, and publish validated data for the rest of your company.
Data quality throughout and on every level
Automatically detect domains and business terms, and apply data quality rules consistently across the company. Report aggregated quality statistics and use data quality information for MDM, RDM, data catalog, data lineage, and more.
Identify duplicate records representing the same real-world entity (customers, patients, products, locations, or others) with matching rules. Advanced de-duplication with better transaction management, data persistence and AI-based algorithms is available in our MDM solution.
Data standardization & cleansing
Standardize, cleanse, validate, enrich, and match data as your applications need. Easily move from configuration to testing and deployment. Integrate data quality with existing ETL and CI/CD pipelines.
External data enrichment & validation
Plug in modules to connect to 3rd party, industry standard data enrichment & validation services.
Call any external API or even scrape web pages.
Detect irregularities in data loads, including data volume changes, outliers, and changes in data characteristics. Get notified and understand what’s happening. See improvements over time as the solution learns from user input.
Issue tracking & resolution
Identify, track, resolve, and prevent data quality issues automatically. Data stewards can correct errors, eliminate duplicates, and match & merge records.
Consistently mask data, create data for test environments, and transfer anonymized data to the cloud. Our smart engine preserves data quality and characteristics of PII.
“Take a data quality product and implement it in such a quick turnout time, it’s actually quite great.”
Robust under the hood
High performance processing engine
Works on billions of records, can handle millions of API calls from frontend applications without compromising performance.
Files, NoSQL, data lakes, batch, streaming, messaging, APIs, web services, REST, synchronous and asynchronous, on prem, or in the cloud? No problem.
Set up and schedule flexible data processing pipelines with a variety of conditions and follow-up steps. Then integrate them into existing ETL or CI/CD pipelines.
Ataccama ONE configuration is separate from the processing engine and the deployment environment. Reuse configurations and save time testing and deploying your solution on different environments.
Data quality resources
Data Quality Management Challenges, and How Data Observability Solves Them
Learn about some of the biggest pain points in data quality and how data…Read more
Ataccama Version 14 Launch Webinar
Be the first to learn about the new features and improvements coming to version…Read more
Full Stack Data Quality
See the latest improvements to the Ataccama Data Quality Suite available in…Read more
Introducing Pushdown on Snowflake
With our new pushdown feature you can run data quality processes…Read more
Why You Need to Think about Data Quality on Snowflake
Learn the best data quality tips for storing data on Snowflake …Read more
How Data Observability Simplifies the Investigation of Data Quality Issues
Observe a data observability workflow from start to finish. Visualize this…Read more
7 Data Management Trends to Watch in 2023
Learn about the newest trends in data management in 2023Read more
2022 State of Data Quality: Automation is King
Our 2022 edition of the State of Data Quality (a survey of 1000 data management…Read more
What is a Report Catalog?
Learn about report catalogs, a singular point of access for your…Read more
The 2022 Gartner® Magic Quadrant™ for Data Quality Solutions
Download the report to learn Gartner’s perception of the strengths and cautions…Read more
The Best Approach to Data Quality Management: Combine Rules and AI
Learn about rules-based vs. AI/ML anomaly detection pros and cons…Read more
Manual Data Quality Doesn’t Cut It in 2023: Here is How Automated Data Quality Works
Automation is the future of data management, and metadata plays a…Read more
What is Anomaly Detection?
Anomaly detection can help you find unwanted or unexpected values…Read more
Data Observability: Understand What It Is and How It Works
Learn about data observability, why it's important, how it works,…Read more
3 Data Quality Management Success Factors from Latest Research
Learn what it takes to implement a successful data quality…Read more
Automate the Delivery of High Quality Data
Manual data quality management via spreadsheets and coding is slow, inefficient…Read more
2022 State of Data Quality
A survey of more than 1,000 executives and business users reveals key factors…Read more
The Cost of Poor Data Quality
Using poor data quality in your business operations has a…Read more
Data Quality Storytelling: A Better Way to Do DQ Reporting
Liven up your DQ reports with the latest data visualization…Read more
5 Reasons Why the Data Catalog and Data Quality Work Better Together
Data catalog is an essential tool for data and analytics leaders.…Read more
It doesn’t end
with data quality
Ataccama ONE is a full stack data management platform.
See what else you can do.