Matillion alternatives

4 tools to consider instead of Matillion, shown against it.

Matillion Fivetran Talend Azure Data Factory AWS Glue
Vendor Matillion Fivetran, Inc. Qlik Microsoft Amazon Web Services
Pricing model Quote only Usage-based Quote only Usage-based Usage-based
Free tier No Yes No Yes Yes
Deployment Cloud Cloud Cloud, Self-hosted Cloud Cloud
Open source No No No No No
Best for Analytics engineering teams wanting a visual, low-code ELT builder with warehouse-native transformation. Data teams who want a fully managed, low-maintenance ELT pipeline into a cloud warehouse without operating infrastructure. Larger enterprises needing integration bundled with data quality and governance, not just pipeline movement. Organizations standardized on Azure needing pipeline orchestration across cloud and on-premises sources. AWS-native teams needing serverless, pay-per-use ETL and a shared metadata catalog across analytics services.
Pricing

Consumption-based credit system tied to pipeline task hours and developer seats; only the entry Developer tier's trial is self-serve, the rest require a sales quote.

Developer Free trial
Teams Contact sales
Scale Contact sales

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Consumption-based pricing billed in Monthly Active Rows (MAR) for connectors/activations and Monthly Model Runs for transformations, with a free tier and three paid plans.

Free $0/month
Standard Usage-based, $5/month minimum per connection (1–1M MAR)
Enterprise Usage-based, contact for rates
Business Critical Usage-based, contact for rates

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Capacity-based subscription across four editions (Starter, Standard, Premium, Enterprise), metered by data volume, job executions and duration; no public price list.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Consumption pricing billed separately for pipeline orchestration (per 1,000 runs), data movement (per Data Integration Unit-hour), Data Flow execution (per vCore-hour) and external activity execution; first five low-frequency activities per month are free.

Orchestration & execution Billed per 1,000 activity/trigger/debug runs
Data movement Billed per Data Integration Unit-hour (DIU-hour)
Data Flow execution Billed per vCore-hour

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Billed per Data Processing Unit-hour (DPU-hour) for ETL jobs and crawlers, by the second; Data Catalog storage and requests are free up to the first million objects/accesses monthly.

ETL jobs & crawlers $0.44 per DPU-hour
Data Catalog Free for first 1M objects and 1M requests/month
DataBrew $1.00 per 30-min interactive session; $0.48 per node-hour for jobs

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • Low-code drag-and-drop pipeline canvas
  • Push-down transformation execution in the warehouse
  • Built-in Git version control
  • SQL and Python scripting components
  • Native dbt Core integration
  • Streaming change data capture (Scale tier)
  • Cross-cloud support for Snowflake, Databricks, BigQuery, Redshift
  • 700+ prebuilt, managed connectors
  • Automated schema drift handling
  • Log-based change data capture for databases
  • dbt Core/dbt Cloud-based transformations
  • Column-level hashing and blocking for sensitive fields
  • Column- and table-level lineage
  • REST API for programmatic management
  • Annual contract discounts up to 22%
  • ETL/ELT pipeline design
  • Change data capture at scale (Standard+)
  • Data quality and profiling tools
  • Master data management
  • Data governance and cataloging (Enterprise)
  • Broad target/format support for transformation
  • AI-assisted data quality features
  • Visual pipeline designer and code-first authoring
  • Spark-backed Mapping Data Flows
  • Self-Hosted Integration Runtime for on-premises data
  • 90+ built-in connectors
  • Native orchestration of Databricks and HDInsight activities
  • Git-based CI/CD integration
  • Trigger-based and event-based scheduling
  • Serverless Apache Spark and Python ETL jobs
  • Auto-populated Hive-compatible Data Catalog
  • Crawlers for automatic schema discovery
  • Visual job authoring via Glue Studio
  • Zero-ETL integrations with other AWS services
  • Glue DataBrew for no-code data preparation
  • Schema Registry for streaming data

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