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Matia for Enterprise

At enterprise scale, the data stack doesn't just get expensive — it gets fragile. 26+ vendors, terabytes replicating nightly, pipelines no one fully understands. Matia streamlines ingestion, reverse ETL, observability, and catalog into one governed platform built for that scale, so data flows reliably, audits pass, and you stop paying the DataOps tax.

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Built for the industries where data mistakes cost the most

Pharmaceuticals

Clinical and trial data is under constant scrutiny. Matia delivers column-level lineage as audit evidence, PII and PHI masking, and hybrid deployment that keeps regulated data in your perimeter.

Manufacturing

High-volume operational and IoT data from systems never meant to talk. Matia replicates terabyte-scale plant and sensor data reliably and catches schema drift before it breaks production.

Financial Services

Matia gives risk and finance teams end-to-end traceability for model-risk, centralized access control, and region-locked deployment.

Migrate Without the Risk

Replatforming hundreds of production pipelines is where most enterprise data projects stall. Matia is built to move you off legacy and fragmented tooling without a rip-and-replace gamble: 150+ connectors, best-in-class database replication, and a team that runs the migration with you, pipeline by pipeline.

Horizontal scalability: database replication engineered for terabyte-scale volume and parallel syncs, not just SaaS tables

De-risked migration: move off Fivetran, Airbyte, and a stack of point tools without breaking what's in production

The data foundation AI runs on: high-volume, clean, lineage-tracked pipelines feed your AI and ML workloads reliable inputs from the start

Deploy on Your Terms, Not Ours

Regulated enterprises can't move data to whatever cloud a vendor prefers. Matia deploys to fit your security and compliance posture: hybrid, your own VPC, or region-locked for data residency, so sensitive data stays where your policies and regulators require.

Hybrid & flexible deployment: run Matia in your environment or ours; keep regulated data inside your perimeter while still getting a unified platform

AWS GovCloud: deploy in GovCloud-class environments for public-sector and high-compliance workloads

PII protection by design: hashing and masking for sensitive fields, plus column-level lineage that proves exactly where PII flows and who can touch it

Reduced attack surface: streamlining vendors means fewer credentials, fewer reviews, one platform that clears security review once, not six times

Don't just take our word for it

Meet the data teams that run on Matia.

“Matia has been huge for us. We've seen significant improvements in reliability, fault tolerance, and product velocity compared to the alternative and reduced our sync time by more than 80%.”

Ryan Delgado

Head of Data Platform

"When it comes to reliable data, Matia delivers. From a technical perspective, the product is superior and the velocity with which they are able to ship new features is impressive"

Nimrod Milo

Director of Data Enginering

"Moving to Matia, our goal was to unify siloed systems to move data faster and more reliably. The Matia platform has lived up to the hype and more. Having a single source of truth for data means our engineers can focus on our product innovation, instead of fixing broken and inconsistent data pipelines."

Avner Shier

VP of Data & Finance

"Matia didn't just help us move data; it made our AI workflows operational. We can now get model outputs from Databricks into our platform fast enough to make a difference for our customers."

David Lexa

Senior Engineering Manager, Data Engineering

"When we ran into an issue with our data, Matia came back with a solution. That's the kind of partnership that actually moves the needle for a data team."

Alberto Sheinfeld

CTO

"It's a dream to have Matia as a one stop solution now where I can just go in, I can just do all the data movement in one place with no issues."

Steve Callery

CDO

FAQs

We'll save you the trouble. Here are some of the most frequent questions we get when customers are evaluating Matia.

How does Matia handle data compliance for regulated industries?+

A unified DataOps platform brings the core functions of data management—ingestion, activation, monitoring, and metadata management—into one system instead of forcing teams to stitch together separate tools. Matia combines ETL/data ingestion, reverse ETL, data observability, and data cataloging in a single platform, so data can move from source to warehouse to the business tools that rely on it without losing visibility or control. Rather than managing four or more vendors, data teams have one place to bring data in, activate it, and understand what is happening across the data lifecycle.

Can Matia deploy in our own VPC or on-premises environment?+

Many data stacks combine a separate ETL tool, reverse ETL tool, observability platform, and data catalog—each with its own setup, billing, and blind spots. Matia consolidates these core functions in a single unified DataOps platform, reducing tool sprawl, integration overhead, and the time teams spend maintaining connections between systems. Fewer tools mean fewer places for issues to arise and one source of truth for what is happening with your data.

How does Matia simplify migrating from multiple existing tools?+

A standalone ETL or reverse ETL tool may do one job well, but it leaves the rest of the data journey—monitoring, governance, and lineage—to other tools. Matia is built as a unified platform, so ingestion and activation share the same observability and catalog layer. As a result, schema changes, data-quality issues, and lineage are visible across the full pipeline, not only within the portion one tool happens to touch.

What industries is Matia Enterprise best suited for?+

Matia supports the full data lifecycle from ingestion to activation: ETL/data ingestion moves data into your warehouse or data lake; data observability monitors it for quality and schema issues as it moves; the data catalog organizes metadata and lineage; and reverse ETL activates trusted data in the business tools your teams rely on. Because these capabilities operate in one platform, each stage provides context for the next—for example, a schema change detected through observability can stop a bad sync before it reaches a downstream tool.

How does Matia handle PII masking and data residency requirements?+

Yes. Matia's data observability is built directly into its ingestion and reverse ETL pipelines rather than added as a separate product. Data teams can monitor pipeline health, schema changes, and data-quality anomalies at the table and column level in the same platform where data is moving, without needing to cross-reference a separate monitoring tool.

Can Matia scale to terabyte-level data replication?+

Yes. Matia's data catalog centralizes metadata management, asset connections, and data lineage mapping at the table and column level. Because it is connected to the same ETL and reverse ETL pipelines that move your data, Matia provides an end-to-end lineage view from source through the warehouse to activation, rather than a partial picture stitched together after the fact.

How does Matia reduce vendor sprawl and security review overhead?+

Matia is designed to work alongside dbt, not replace it. Matia handles ingestion, reverse ETL, observability, and cataloging while dbt manages transformation. Matia's observability extends into dbt runs, tracking errors, lineage, and schema.yml changes, and it can trigger automatic GitHub pull-request updates when a schema change affects a dbt model. The goal is to fit into the data workflows teams already use, not force a rebuild.