Matia

What Matia is

Matia brings ETL, Reverse ETL, data observability, and a data catalog into one DataOps platform for data, engineering, and AI teams. Its ETL tools extract, standardize, and load data, with Change Data Capture and error handling. Reverse ETL sends warehouse data to CRMs, ad platforms, support tools, and other SaaS destinations. For data quality, Matia offers schema drift detection, quality metrics, monitoring, alerts, and automated error handling. Its catalog is designed to help teams discover and govern data assets, manage metadata, and trace lineage down to tables and columns. Matia states it supports 150+ API and database sources, major warehouses including Snowflake, Databricks, Redshift, S3, and BigQuery, as well as dbt Core and Cloud. Syncs are scheduled, with advanced transformation support. The pricing page lists Starter, Standard, and Enterprise plans, with pricing available on request and a 14-day trial. Matia says most customers take a guided trial lasting about two weeks. It also says its product is backwards compatible with Fivetran pipelines, connectors, and configurations. The pricing page lists RBAC and SSO, while AWS Private Link support is available on a plan comparison.

Who it suits

Matia suits data, engineering, and AI teams looking to manage data operations in one platform. It may also fit teams that need warehouse data synced to CRMs or other SaaS systems, alongside monitoring and catalog tools.

Limits

Starter includes 10 users, seven-day audit logs, hourly ETL syncs, one Reverse ETL destination with eight-hour syncs, 100 monitored tables, five custom monitors, and 75 dbt tests. The integrated catalog is listed as coming soon for Enterprise, and several catalog capabilities are marked coming soon.

Getting started

1. Visit https://www.matia.io/.
2. Choose a Starter, Standard, or Enterprise plan, with pricing available on request.
3. Request the 14-day trial; most customers use a guided trial lasting about two weeks.
4. Connect supported API or database sources and a warehouse such as Snowflake, Databricks, Redshift, S3, or BigQuery.
5. Set scheduled ETL or Reverse ETL syncs and configure monitoring as needed.

Verdict

Choose Matia if your data team wants ETL, warehouse-to-business-system syncing, observability, and catalog features in one platform. Check the plan limits carefully if you need faster syncs or more Reverse ETL destinations; pricing is available on request.