DataBuckFirstEigen
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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.
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About
DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to:
✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data.
✅ Reduce maintenance costs by minimizing manual intervention.
✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems.
By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights.
Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.
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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
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Businesses looking for an intuitive and reliable solution to clean, standardize, and match data across the enterprise
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Audience
Data professionals interested in a powerful autonomous data quality validation platform
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
starts at $10000/user per year
Free Version
Not Supported
Free Trial
Supported
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PricingConsumption-based and annual fixed licensing fee are both available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationData Ladder
Founded: 2006
United States
dataladder.com
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Company InformationFirstEigen
Founded: 2015
United States
firsteigen.com/databuck/
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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
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Data Quality Features
Address Validation
Not Supported
Data Deduplication
Not Supported
Data Discovery
Not Supported
Data Profililng
Supported
Master Data Management
Not Supported
Match & Merge
Not Supported
Metadata Management
Not Supported
Big Data Features
Collaboration
Not Supported
Data Blends
Not Supported
Data Cleansing
Not Supported
Data Mining
Not Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Supported
No-Code Sandbox
Not Supported
Predictive Analytics
Not Supported
Templates
Not Supported
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Integrations
AWS Glue
Not Supported
Amazon S3
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Airflow
Not Supported
Azure Cosmos DB
Not Supported
Azure SQL Database
Not Supported
Cloudera
Not Supported
Databricks
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud Dataflow
Not Supported
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Integrations
AWS Glue
Supported
Amazon S3
Supported
Amazon Web Services (AWS)
Supported
Apache Airflow
Supported
Azure Cosmos DB
Supported
Azure SQL Database
Supported
Cloudera
Supported
Databricks
Supported
Google Cloud BigQuery
Supported
Google Cloud Dataflow
Supported
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