DataBuck

DataBuck

FirstEigen
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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.

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.

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

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

Audience

Businesses looking for an intuitive and reliable solution to clean, standardize, and match data across the enterprise

Audience

Data professionals interested in a powerful autonomous data quality validation platform

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

starts at $10000/user per year
Free Version Not Supported
Free Trial Supported

Pricing

Consumption-based and annual fixed licensing fee are both available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Data Ladder
Founded: 2006
United States
dataladder.com

Company Information

FirstEigen
Founded: 2015
United States
firsteigen.com/databuck/

Alternatives

Alternatives

Categories

Data Cleansing Supported
Data Deduplication Supported
Data Matching Supported
Data Quality Supported
Data Validation Supported

Categories

AI Data Analytics Supported
Big Data Supported
Data Engineering Supported
Data Governance Supported
Data Intelligence Supported
Data Management Supported
Data Matching Supported
Data Observability Supported
Data Pipeline Supported
Data Quality Supported
Data Validation Supported
DataOps Supported
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

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 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

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
Google Cloud Platform Not Supported
Microsoft Azure Not Supported
PostgreSQL Not Supported
SQL Server Not Supported
Snowflake Not Supported
Teradata VantageCloud Not Supported

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
Google Cloud Platform Supported
Microsoft Azure Supported
PostgreSQL Supported
SQL Server Supported
Snowflake Supported
Teradata VantageCloud Supported
Claim Data Ladder and update features and information
Claim Data Ladder and update features and information