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Multiwoven

Free#9 of 29 in Reverse ETL Tools

Multiwoven: A self-hosted reverse ETL platform for SQL, dbt, and scheduled data syncs. Ranked #9 of 29 in Reverse ETL Tools by our editors (8.4/10); pricing: Free plan; best for self-hosted open-source deployments.

8.4/10Editor score

Visit Multiwoven

Multiwoven8.4 Visit Multiwoven

At a glance

Editor score
8.4 / 10
Pricing
Free plan
Best for
Self-hosted open-source deployments
Free plan
Yes
Paid from
Free
Facts checked
20 Sep 2026

Where it wins
- SQL, dbt, and visual table selection support
- Full-refresh and incremental syncs with job orchestration
- Docker and Helm deployment with extensible connectors
Where it doesn't
- Self-hosted deployment requires Docker or Helm
- Advanced modeling is centered on SQL, dbt, or table selection
- Connector coverage varies by supported business tool

Our verdict on Multiwoven

Multiwoven is an open-source reverse ETL platform for moving customer and warehouse data into operational business tools. It is designed for teams that want to keep deployment under their control while connecting data sources such as Snowflake, Google BigQuery, Amazon Redshift, Databricks, and PostgreSQL with destinations across CRM, advertising, marketing automation, customer support, collaboration, analytics, and other business categories. The platform is available through web, API, and self-hosted deployments.

Its main strength is the range of modeling and synchronization options. Teams can define models with SQL, dbt, or visual table selection, then configure full-refresh or incremental syncs to supported destinations. Scheduled job orchestration helps organize recurring transfers, while the extensible connector protocol provides a path for expanding integrations. Listed connections include Salesforce CRM, HubSpot, Klaviyo, Slack, Google Sheets, Facebook Ads, Airtable, Stripe, Salesforce Consumer Goods Cloud, and SFTP, alongside major warehouse and database sources.

Deployment is the key dividing line. Docker and Helm support make Multiwoven a fit for organizations that want an open-source project they can deploy and manage themselves, but that approach places infrastructure responsibility with the adopting team. It suits data and engineering groups comfortable with SQL, dbt, connectors, and scheduled operations. Teams seeking a self-hosted reverse ETL system with advanced transformation support should consider it; teams that prefer a fully managed workflow or do not want to own deployment and connector operations should choose a different type of platform.

Your product? Our editors can test Multiwoven in depth and publish a review, labelled as paid · from $149/mo →

Multiwoven pricing

Plans Free planFree Free to use — no paid tier required for the core job.

See plans on multiwoven.com

Multiwoven fact sheet

Free plan	Yes
Paid from	Free
Sync frequency	Not verified
Destination connectors	Not verified
Warehouse sources	Not verified
Transformation support	Advanced
Reverse sync	Not verified
Destination categories	CRM, advertising, marketing automation, customer support, collaboration, analytics, and other business tools
Deployment	Self-hosted
Platforms	Web
Support	Community, Docs
Built for	Small business, Mid-market, Enterprise (editorial estimate)
Integrations	20 integrations: Snowflake, Google BigQuery, Amazon Redshift, PostgreSQL, Klaviyo, Salesforce CRM … See all →
Pricing	Free plan
Website	multiwoven.com
Facts checked	20 Sep 2026

Multiwoven integrations

Multiwoven lists 20 integrations on its own site.

Snowflake
Google BigQuery
Amazon Redshift
PostgreSQL
Klaviyo
Salesforce CRM
Slack
Google Sheets
Facebook Ads
Databricks
HubSpot
Airtable
Stripe
Salesforce Consumer Goods Cloud
SFTP
AWS Athena
HTTP
Zendesk
Google Ads
Braze

See all Multiwoven integrations →

Alternatives to Multiwoven

See all Multiwoven alternatives →

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Featured on iTechGuides

Multiwoven is listed in our Reverse ETL Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update