Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Matillion in etl & data integration workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing Matillion.
Why teams pick it
Self-hosted or cloud deployment options with unified architecture
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Matillion.
Why teams pick it
Data engineers building custom ELT pipelines with strict privacy requirements
Data integration platform for ELT pipelines from any source
Why teams choose it
Watch for
Connector quality and maintenance may vary across the large catalog
Migration highlight
SaaS Data Consolidation
Centralize marketing, sales, and support data from multiple APIs into a single warehouse for unified analytics and reporting
Ultra-performant data transformation framework for AI pipelines
Real-time CDC replication from OLTP to OLAP databases
Lightweight Python ETL framework with PostgreSQL and web UI
Multimodal distributed data integration for massive-scale synchronization
High-performance ELT framework powered by Apache Arrow
Declarative code-first data integration engine for modern pipelines
Teams replacing Matillion in etl & data integration workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Matillion.
Why teams choose it
Watch for
Requires Postgres installation for incremental processing capabilities
Migration highlight
Semantic Search with Live Updates
Build vector indexes from document collections that automatically stay synchronized as source files change, with minimal recomputation overhead
Why teams choose it
Watch for
Requires Kafka infrastructure for message queuing
Migration highlight
Real-Time Business Intelligence
Analysts query live production data in Snowflake for up-to-the-minute dashboards and reports without waiting for nightly batch jobs.
Why teams choose it
Watch for
Single-machine architecture limits scalability for very large or compute-intensive workloads
Migration highlight
Daily data warehouse refresh
Schedule nightly ETL jobs that extract from sources, transform via SQL, and load to PostgreSQL with automatic retry and performance tracking
Why teams choose it
Watch for
Java-based architecture may require JVM tuning for optimal performance
Migration highlight
Real-Time CDC Replication
Capture database changes and replicate to data warehouses with consistency guarantees and minimal resource overhead
Why teams choose it
Watch for
Requires managing your own infrastructure and orchestration
Migration highlight
Cloud Security Posture Management
Monitor and enforce security policies across AWS, GCP, and Azure infrastructure with continuous compliance scanning and unified visibility.
Why teams choose it
Watch for
Requires familiarity with Python ecosystem and command-line tools
Migration highlight
Multi-Source Data Consolidation
Centralize data from 600+ APIs and databases into a data warehouse using declarative configuration without custom integration code.