Audience

Data, AI, and engineering teams that need a unified platform to manage, monitor, and activate data across their entire data stack efficiently

About Matia

Matia is a unified DataOps platform designed to simplify modern data management by combining multiple core functions into a single, integrated system. It brings together ETL, reverse ETL, data observability, and a data catalog, eliminating the need for multiple disconnected tools and reducing the complexity of managing fragmented data stacks. It enables teams to move data quickly and reliably from various sources into data warehouses using advanced ingestion capabilities, including real-time updates and error handling, while also allowing them to push trusted data back into operational tools for business use. Matia emphasizes built-in observability at every stage of the data pipeline, providing monitoring, anomaly detection, and automated quality checks to ensure data accuracy and reliability before issues impact downstream systems.

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Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, Matia offers API access
See Integrations

Ratings/Reviews

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

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Company Information

Matia
Founded: 2023
United States
www.matia.io

Videos and Screen Captures

Matia Screenshot 1
Matia Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
24/7 Live Support
Online

Matia Frequently Asked Questions

Q: What kinds of users and organization types does Matia work with?
Q: What languages does Matia support in their product?
Q: What kind of support options does Matia offer?
Q: What other applications or services does Matia integrate with?
Q: Does Matia have an API?
Q: What type of training does Matia provide?
Q: Does Matia offer a free trial?

Matia Product Features

Data Extraction

Pricing Extraction
Web Data Extraction
IP Address Extraction
Document Extraction
Email Address Extraction
Image Extraction
Phone Number Extraction
Disparate Data Collection

Data Lineage

Object Lineage Tracing
Point-in-Time Visibility
Lineage Object Filtering
User/Client/Target Connection Visibility
Visual & Text Lineage View
Filter Lineage Links
Implicit Connection Discovery
Database Change Impact Analysis

Data Replication

Continuous Replication
Cross-Platform Replication
Remote Database Replication
Automated Data Retention
Instant Failover
Dashboard
Simulation / Testing
Synchronous Data Replication
Asynchronous Data Replication
Orchestration
Reporting / Analytics

ETL

Data Analysis
Match & Merge
Data Filtering
Data Quality Control
Metadata Management
Version Control
Non-Relational Transformations
Job Scheduling