Ataccama ONEAtaccama
|
||||||
Related Products
|
||||||
About
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.
|
About
DataMatch Enterprise (DME) by Data Ladder is an entity resolution and data matching platform that identifies, links, and consolidates records describing the same person, business, or entity across systems. Teams use it to profile, standardize, match, deduplicate, and merge data into a trusted golden record for customer 360, KYC, fraud, and master data management.
DataMatch Enterprise pairs a visual, code-free interface for business teams with a REST API for developers, so the same matching engine works inside applications, pipelines, and AI agent workflows. New capabilities include entity graphs for visualizing linked records, live search for real-time matching, and Docker deployment alongside on-premises and cloud options.
Benchmarked across 15 studies, DataMatch Enterprise finds 5 to 12% more matches with fewer false positives, up to 99% accuracy, and matched 10 million records in 41 minutes.
|
|||||
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Both business & technical users; IT; all data people (data stewards, anyone responsible for taking care of data in an organization)
|
Audience
Businesses looking for an intuitive and reliable solution to clean, standardize, and match data across the enterprise
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
|
Pricing
starts at $10000/user per year
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationAtaccama
Founded: 2007
Toronto, Canada
www.ataccama.com
|
Company InformationData Ladder
Founded: 2006
United States
dataladder.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Data Cleansing Features
Address/ZIP Code Cleaning
Supported
Charting
Supported
Data Consolidation / ETL
Supported
Data Mapping
Supported
Multi Data Format Support
Supported
Phone/Email Validation
Supported
Raw Data Ingestion
Supported
Sample Testing
Supported
Validation / Matching / Reconciliation
Supported
Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
Big Data Features
Collaboration
Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Supported
Data Warehousing
Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Not Supported
Templates
Supported
Data Governance Features
Access Control
Supported
Data Discovery
Supported
Data Mapping
Supported
Data Profiling
Supported
Deletion Management
Supported
Email Management
Supported
Policy Management
Supported
Process Management
Supported
Roles Management
Supported
Storage Management
Supported
Master Data Management Features
Data Governance
Supported
Data Masking
Supported
Data Source Integrations
Supported
Hierarchy Management
Supported
Match & Merge
Supported
Metadata Management
Supported
Multi-Domain
Supported
Process Management
Supported
Relationship Mapping
Supported
Visualization
Supported
|
Data Cleansing Features
Address/ZIP Code Cleaning
Supported
Charting
Not Supported
Data Consolidation / ETL
Not Supported
Data Mapping
Supported
Multi Data Format Support
Supported
Phone/Email Validation
Supported
Raw Data Ingestion
Not Supported
Sample Testing
Not Supported
Validation / Matching / Reconciliation
Supported
Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Not Supported
Data Profililng
Supported
Master Data Management
Not Supported
Match & Merge
Supported
Metadata Management
Not Supported
|
|||||
Integrations
Amazon EMR
Supported
Amazon Redshift
Supported
Amazon Web Services (AWS)
Supported
Apache Kafka
Supported
Databricks
Supported
Google Cloud BigQuery
Supported
Google Cloud Platform
Supported
Google Drive
Supported
HPE Ezmeral Data Fabric
Supported
Hadoop
Supported
|
Integrations
Amazon EMR
Not Supported
Amazon Redshift
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Kafka
Not Supported
Databricks
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud Platform
Not Supported
Google Drive
Not Supported
HPE Ezmeral Data Fabric
Not Supported
Hadoop
Not Supported
|
|||||
|
|
|