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Matia

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

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Chen V.
CV
Chen V.
Data Engineer at Neema
09/17/2026
Validated Reviewer
Review source: Organic

Robust Data Integration with Stellar Support

I like that Matia solves the problem of not knowing when things failed and why by being very agile and quickly making improvements to connectors. Their support is phenomenal, and they listen to customer requests. The user interface is good, and their processes are really fast and robust. I also appreciate the observability feature, which allows even non-developers to see how models affect dashboard dependencies. It's great that we receive notifications, even to Slack, if anything breaks. Switching from Rivery to Matia due to issues with pipeline robustness and support has been a positive change, as Matia provides more robust pipelines and better observability. The initial setup was quite easy due to their excellent documentation and support.
Verified User in Financial Services
UF
Verified User in Financial Services
08/18/2026
Validated Reviewer
Verified Current User
Review source: Organic

Ingestion + Reverse ETL in One Trusted Platform

What I like best is having ingestion and reverse ETL in one platform instead of managing separate tools for each. It cuts down on the number of systems we have to maintain and gives us one place to trust for how our data is moving.
Orr  S.
OS
Orr S.
CTO at Bounce
08/05/2026
Validated Reviewer
Verified Current User
Review source: Organic

Faster Than Airbyte/Rivery With Personal Service and Predictable Pricing

1. Much faster then airbyte/rivery where I tried before 2. Better and more personal service 3. Better and more predictable pricing by far

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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
Website
www.matia.io