Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Astera Centerprise offers an all-encompassing on-premise data integration platform that simplifies the processes of extracting, transforming, profiling, cleansing, and integrating data from various sources within a user-friendly drag-and-drop interface. Tailored for the complex data integration requirements of large enterprises, it is employed by numerous Fortune 500 firms, including notable names like Wells Fargo, Xerox, and HP. By leveraging features such as process orchestration, automated workflows, job scheduling, and immediate data preview, businesses can efficiently obtain precise and unified data to support their daily decision-making at a pace that meets the demands of the modern business landscape. Additionally, it empowers organizations to streamline their data operations without the need for extensive coding expertise, making it accessible to a broader range of users.
Description
DataMatch Enterprise (DME) is Data Ladder's entity resolution and data matching platform. It identifies records that refer to the same person, business, or entity across disconnected systems, then links and consolidates them into a single accurate record. Core functions include data profiling, standardization, matching, deduplication, and merging, supporting use cases such as Customer 360, KYC, fraud detection, and master data management.
The platform is available through a no-code visual interface for business users and a REST API for developers, allowing the same matching engine to be embedded in applications, data pipelines, or AI agent workflows. Match results are rule-based and traceable, so users can see the specific logic behind each linked record rather than a single opaque score.
Recent additions include entity graphs for visualizing connected records, live search for real-time matching, and Docker as a deployment option in addition to cloud and on-premises environments.
Independent benchmarking across 15 studies shows DME identifying 5 to 12% more matches than comparable tools, with fewer false positives and accuracy up to 99%. In a large-scale test, it processed 10 million records in 41 minutes.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Redshift
Yes
Aurora Solar
Yes
IBM Db2
Yes
MariaDB
Yes
Microsoft Access
Yes
Microsoft Dynamics 365
Yes
Microsoft Excel
Yes
Microsoft Power BI
Yes
MySQL
Yes
Oracle BPM Suite
Yes
Integrations
Amazon Redshift
No
Aurora Solar
No
IBM Db2
No
MariaDB
No
Microsoft Access
No
Microsoft Dynamics 365
No
Microsoft Excel
No
Microsoft Power BI
No
MySQL
No
Oracle BPM Suite
No
Pricing Details
Customized quote based on the use case.
Free Trial
Yes
Free Version
No
Pricing Details
starts at $10000/user per year
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Astera Software
Founded
2009
Country
United States
Website
www.astera.com/products/centerprise-data/
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
Yes
Metadata Management
Yes
Multiple Data Sources
Yes
Web Services
Yes
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
No
Data Consolidation / ETL
No
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
Yes
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
Yes
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
Yes
Master Data Management
No
Match & Merge
Yes
Metadata Management
No