2021 Gartner® Magic Quadrant for Data Quality Solutions
A Leader in the 2021 Gartner®
Magic Quadrant™
for Data Quality Solutions

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.

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Data Monitoring
Anomaly Detection
Data Quality Throughout

Ataccama ONE automates data quality management. Just connect your source.

Ataccama ONE automates data quality management.

Data quality without the extra work—leverage AI for instant results.

Smart & fast data quality management, with a friendly user experience.

 

Works without rules

Anomaly detection

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

Continuous data quality

Automatically detect changes and improve quality over time. Take action if needed.

Quality throughout

Quality throughout

Data quality is applied everywhere, from data lineage to business domains, MDM, and more.

 
Customize as needed

Customize as needed

Modify rules in a user-friendly interface with sentence-like conditions or with our rich expression language.

Super fast data quality

Super fast data quality

Get started quickly and process any volume of data fast, on prem or in the cloud.

 

And much more

Self-learning
Explainable AI
Whitebox approach
🤖
Outlier detection
Data patterns
Duplicate detection
🧹
Standardization rules
Expressions
📐
Issue resolution
Change notifications
 
 
 
 
 

Built for all data people

Ataccama ONE is built for fast analytical teams, highly regulated governance teams, and technical data teams alike.

Data Stewards
Manage data quality rules
Identify data quality problems in source systems
Resolve data quality issues
Monitor data quality
Business Managers
Get an overview of data quality at any time
Base your business decisions on accurate, comprehensive reports
Ensure compliance with regulatory requirements
Data Scientists
Easily access, transform, and use enterprise data
Easily evaluate any data set in a self-service way
Find related data with lineage and detect relationships with Al
Data Engineers
Easily connect to a variety of data sources and catalog your data
Implement complex, reusable data quality rules without coding
Flexibly create custom data transformations

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 2021 Gartner Magic Quadrant® for Data Quality Solutions™

Download your complimentary copy and see what sets Ataccama apart.

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Accurate matching depends on data quality.

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 evaluation, monitoring & reporting

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.

Quality on entry
APIs
SOAP
REST

Data preparation

Easily join and transform data with interactive visual transformations, modify data on the fly, and publish validated data for the rest of your company.

Zero coding
Interactive transformations

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.

Data quality throughout and on every level

De-duplication

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.

Deterministic matching
Fuzzy matching
Edit distance
Phonetic algorithms

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.

Data standardization & cleansing

External data enrichment & validation

Plug in modules to connect to 3rd party, industry standard data enrichment & validation services.

Loqate
Dun & Bradstreet
Uniserv
Bureau van Dijk

Call any external API or even scrape web pages.

Anomaly detection

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.

Data standardization & cleansing

Issue tracking & resolution

Identify, track, resolve, and prevent data quality issues automatically. Data stewards can correct errors, eliminate duplicates, and match & merge records.

Data standardization & cleansing

Data masking

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.

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“Take a data quality product and implement it in such a quick turnout time, it’s actually quite great.”

Femi Akintobi
Data Quality & Engineering Product Director, GSK
 

Robust under the hood

H

High performance processing engine

Works on billions of records, can handle millions of API calls from frontend applications without compromising performance.

F

Flexible integration

Files, NoSQL, data lakes, batch, streaming, messaging, APIs, web services, REST, synchronous and asynchronous, on prem, or in the cloud? No problem.

O

Powerful orchestration

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.

D

Multi-environment deployment

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.

See data quality management in action

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Analyst Research
The 2021 Gartner® Magic Quadrant™ for Data Quality Solutions

The 2021 Gartner® Magic Quadrant™ for Data Quality Solutions

Download the report to learn Gartner’s perception of the strengths and cautions…

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Blog
Enterprise Data Quality Fabric: A Primer

Enterprise Data Quality Fabric: A Primer

Enterprise Data Quality Fabric is the new way to manage data and deliver it to…

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Webinar
A Stitch in Time: The Power of a Data Quality Fabric

A Stitch in Time: The Power of a Data Quality Fabric

If you're interested in learning how to deploy a robust data quality fabric,…

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Demo
Ataccama ONE: Automate the Delivery of High Quality Data with Active Metadata

Ataccama ONE: Automate the Delivery of High Quality Data with Active Metadata

Learn how to automate and speed up the delivery of high quality data to anyone…

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Webinar
Getting Data Quality Right in 2021

Getting Data Quality Right in 2021

Watch this panel session of industry experts as they speak about their direct…

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Webinar
[GERMAN] Back to the Future: Drei Jahre Zeitreise mit einer DQ-Lösung

[GERMAN] Back to the Future: Drei Jahre Zeitreise mit einer DQ-Lösung

Verpassen Sie nicht den während der TDWI München digital 2021 präsentierten…

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Ebook
2021 State of Data Quality

2021 State of Data Quality

Learn about everyday problems business users and executives face in regards to…

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Blog
Embracing the Future of Data Governance with our Clients, Part 2

Embracing the Future of Data Governance with our Clients, Part 2

We asked our clients in the Asia Pacific region about their challenges to…

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Blog
Embracing the Future of Data Governance with our Clients, Part 1

Embracing the Future of Data Governance with our Clients, Part 1

Learn how our customers manage data in the cloud, use AI, and make data…

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Blog
What Is Data Quality and Why Is It Important?

What Is Data Quality and Why Is It Important?

Learn what data quality is, why it is important, what costs and risks bad data…

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Webinar
Automate the Delivery of High Quality Data with Active Metadata

Automate the Delivery of High Quality Data with Active Metadata

Learn how to get started with data quality and how to automate & speed up the…

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Success Story
Insurance provider standardizes global underwriting, saving 100s of work hours monthly

Insurance provider standardizes global underwriting, saving 100s of work hours monthly

To underwrite client insurance requirements quickly, the organization needed to…

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Blog
4 Data Management Disciplines that Help Pharma Make the Most of Clinical Trial Data

4 Data Management Disciplines that Help Pharma Make the Most of Clinical Trial Data

Learn how pharmaceutical companies can use data management to take control of…

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Self-paced training
[Gen 1] 3. Creating data quality rules

[Gen 1] 3. Creating data quality rules

Learn how to configure and test rules, and how to share and collaborate on…

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Self-paced training
[Gen 1] 4. Setting up data quality reports and dashboards

[Gen 1] 4. Setting up data quality reports and dashboards

Learn how to use data quality rules to set up monitoring projects.

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Whitepaper
Data Quality will Rule the Market

Data Quality will Rule the Market

Find out five business opportunities which can deliver considerable benefits…

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Blog
Data Management is Key to Containing Covid-19 and Future Pandemics

Data Management is Key to Containing Covid-19 and Future Pandemics

Robust data management principles and processes are necessary for smart…

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Blog
Data Catalogs: Accelerating Analytics and Data Quality Operationalization

Data Catalogs: Accelerating Analytics and Data Quality Operationalization

Read this blog post to see how a data catalog can accelerate data discovery,…

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Success Story
Improved logistics and optimized merchandizing

Improved logistics and optimized merchandizing

The retailer leveraged Ataccama for in-place data lake processing with Spark to…

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Success Story
Raiffeisenbank a.s.

Raiffeisenbank a.s.

The European bank successfully consolidated customer portfolios for multiple…

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It doesn’t end
with data quality

Ataccama ONE is a full stack data management platform.
See what else you can do.