Matillion

Cloud-native data pipeline and transformation platform for cloud data warehouses.

Pricing: subscription, usage, seat
License: proprietary
Open source: No

Editorial review

Matillion has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://docs.matillion.comVerified
Tags(open-source;cloud-native): ETL, data integration, data pipelines, cloud data warehouse, ELTVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): SaaS, self-hostedVerification pending

Pricing · Licensing

Free trial(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): proprietaryVerification pending
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): subscription, usage, seatVerification pending

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Low-code drag-and-drop pipeline creation, 150+ pre-built connectors, Pipeline orchestration and governance, End-to-end data lineage tracking, Streaming change data capture, Agentic AI pipeline building with MaiaVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Security · Privacy · Compliance

Regulatory compliance(HIPAA;PCI DSS;FedRAMP;GDPR support): GDPRVerified
Security certifications(SOC 2 Type II;ISO 27001): SOC 1 Type II, SOC 2 Type II, SOC 3, ISO 27001Verification pending

Support · Docs · Services

Support channels(email;ticket;chat;phone;community): Community support, Standard customer support, Premium SupportVerified

Audience · Use · Case

Best for(Neutral editorial summary): Data teams building governed drag-and-drop pipelines for Snowflake, Databricks, BigQuery, and Redshift, now with agentic AI via MaiaVerification pending
Company-size fit(individual;SMB;mid-market;enterprise): individual, SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): Cloud data integration, ETL and ELT pipeline development, Data transformation for cloud data warehousesVerification pending
Skill level(beginner;intermediate;advanced;specialist): intermediateVerification pending

Vendor · Maintainer

Founded year(2012): 2011Verified
Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.