Airbyte
Best for self-hosting
Why teams pick it
Self-hosted or cloud deployment options with unified architecture
Open-source alternatives to Hevo Data
Compare community-driven replacements for Hevo Data in etl & data integration workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
Hevo Data
Hevo Data provides 150+ pre-built connectors for data ingestion, transformation with Python/dbt, and automated schema handling for data pipelines.Read more
Key stats
- 7Alternatives
- 2Support self-hosting
Run on infrastructure you control
- 6Active development
Recent commits in the last 6 months
- 5Permissive licenses
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Hevo Data.
Start with these picks
These projects match the most common migration paths for teams replacing Hevo Data.
CloudQuery
Privacy-first alternative
Why teams pick it
Data engineers building custom ELT pipelines with strict privacy requirements
All open-source alternatives
Airbyte
Data integration platform for ELT pipelines from any source
Self-host friendlyActive developmentPrivacy-firstPython
Why teams choose it
- 300+ pre-built connectors for APIs, databases, warehouses, and lakes
- No-code Connector Builder and low-code CDK for rapid customization
- Native orchestration support for Airflow, Prefect, Dagster, and Kestra
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
CocoIndex
Ultra-performant data transformation framework for AI pipelines
Active developmentPermissive licenseIntegration-friendlyRust
Why teams choose it
- Rust-powered core engine for ultra-high performance data transformation
- Automatic incremental processing with intelligent caching and minimal recomputation
- Built-in data lineage and observability across all transformation stages
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
Artie Transfer
Real-time CDC replication from OLTP to OLAP databases
Active developmentFast to deployIntegration-friendlyGo
Why teams choose it
- Sub-minute latency through CDC and stream processing
- Automatic schema detection, table creation, and change merging
- Idempotent processing with automatic retries for reliability
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.
Mara Pipelines
Lightweight Python ETL framework with PostgreSQL and web UI
Permissive licenseFast to deployIntegration-friendlyPython
Why teams choose it
- Declarative Python pipeline definitions with task dependencies and bash command execution
- PostgreSQL-backed execution tracking with automatic schema migration and runtime storage
- Comprehensive web UI for visualizing dependencies, monitoring performance, and running tasks
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
Apache SeaTunnel
Multimodal distributed data integration for massive-scale synchronization
Active developmentPermissive licenseFast to deployJava
Why teams choose it
- 100+ connectors with batch-stream integration and unified API
- Multimodal support for video, images, binary files, and text data
- Distributed snapshot algorithm ensuring cross-source data consistency
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
CloudQuery
High-performance ELT framework powered by Apache Arrow
Self-host friendlyActive developmentPermissive licenseGo
Why teams choose it
- Apache Arrow-powered engine for high-performance data movement at scale
- Runs entirely on your infrastructure with zero data egress to external servers
- Extensible plugin system with hundreds of source and destination integrations
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.
Meltano
Declarative code-first data integration engine for modern pipelines
Active developmentPermissive licenseFast to deployPython
Why teams choose it
- 600+ pre-built connectors for APIs and databases via Meltano Hub
- Declarative YAML configuration for version-controlled pipelines
- Singer tap and target ecosystem integration
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.
Choosing a etl & data integration alternative
Teams replacing Hevo Data in etl & data integration workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
- 2 projects let you self-host and keep customer data on infrastructure you control.
- 6 options are actively maintained with recent commits.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Hevo Data.