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Matia

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30 reviews
  • 1 profiles
  • 7 categories
Average star rating
4.9
Serving customers since
2023
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Matia Reviews

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Steve C.
SC
Steve C.
01/29/2026
Validated Reviewer
Review source: Organic

All-in-One ETL, RETL & Data Cataloging That Saves Massive Time

The simplicity of having all my ETL, RETL and Data Cataloging in one place makes it a great way to understand where my data is and where's it's moving to. I can now manage my whole pipeline in one place saving me a huge amount of time.
Ari A.
AA
Ari A.
01/13/2026
Validated Reviewer
Review source: Organic

Seamless Integration, Exceptional Support

I use Matia for ETL and observability. I love how it makes adding new integrations easy and has incredible customer support. The reliability of Matia is really reassuring. I appreciate the attention and dedication they provide in ensuring the best output, along with their quick response time. You clearly feel taken care of when data issues arise, as Matia makes the process smooth. Integrating Matia and adding new connections is seamless.
Mitchell C.
MC
Mitchell C.
01/12/2026
Validated Reviewer
Verified Current User
Review source: Organic

Effortless to Use with Lightning-Fast Support

Matia makes creating pipelines near effortless. Setting up sources and integrations is streamlined and includes great directions. My absolutely favorite part of working with Matia is their communication! Questions are answered lighting fast, problems are resolved without my intervention, and new features and connectors are added regularly.

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HQ Location:
Miami, US

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What is Matia?

Matia is a data operations platform that enables modern data teams to build, manage, and monitor end-to-end data pipelines in one place. Matia allows data teams to spend time managing their data, instead of their tools. Matia combines ingestion, reverse ETL, data cataloging, and observability into a single, unified interface. Rather than stitching together multiple tools for data movement, observability, and metadata tracking, teams use Matia to streamline their workflow, reduce vendor bloat, and improve data trust across the organization. Common use cases include syncing operational data into warehouse destinations, monitoring pipeline health with built-in alerts, documenting data assets automatically, and aligning data delivery with business-critical SLAs. Teams adopt Matia to simplify their stack, reduce engineering overhead, and create more transparent, reliable data infrastructure

Details

Year Founded
2023