ETL Platforms Comparison
Evaluate data integration platforms across features, supported data sources and destinations, pricing, and performance. Choose the right solution for your data integration needs with a side-by-side comparison.
Compare tools by category
ETL tools serve different roles—from real-time data movement to API integration. We've grouped them by core capabilities so you can quickly find the ones that best fit your needs.
Enterprise Data Integration
Tools in this category handle complex, large-scale integration use cases. They also often support data governance, metadata management, security, and advanced connectivity.
Data Sync & Load
Tools in this category are primarily focused on syncing data from SaaS tools and databases into cloud data warehouses (e.g., Snowflake, BigQuery).
Data Prep & Transformation
Tools in this category are focused on preparing, cleaning, transforming, and enriching datasets for downstream reporting and analytics platforms (e.g., Power BI, Tableau).
Compare Etlworks to Other Platforms
We’ve compared Etlworks side-by-side with leading ETL and integration platforms across the industry. Explore detailed comparisons to see how different tools align with various integration needs and use cases.
Etlworks vs Talend
Compare Talend and Etlworks for enterprise-scale data integration, replication, API management, and automation across cloud and on-prem environments.
Etlworks vs Informatica
Etlworks and Informatica both support enterprise integration and orchestration. Etlworks offers a modern, cloud-agnostic approach built for speed and flexibility.
Etlworks vs Snaplogic
SnapLogic and Etlworks offer strong ETL, ELT, API, and real-time data integration capabilities for complex hybrid and cloud-based environments.
Etlworks vs Fivetran
Fivetran and Etlworks simplify cloud data sync. Etlworks expands further into ETL, API integration, CDC, real-time streaming, and automation workflows.
Etlworks vs Stitch
Stitch and Etlworks both support simple cloud sync. Etlworks offers broader ETL, CDC, API, real-time streaming, and enterprise integration capabilities.
Etlworks vs Hevo Data
Hevo and Etlworks support modern data stacks. Etlworks extends capabilities with better workflow handling, broader integrations, and deeper flexibility.
Etlworks vs AWS Glue
AWS Glue optimizes ingestion within AWS. Etlworks supports full ETL/ELT, CDC, API management, and cross-cloud or on-premise integration without lock-in.
Etlworks vs Azure Data Factory
Azure Data Factory fits Azure-native deployments. Etlworks supports broader cloud and hybrid integration with predictable pricing and flexible architecture.
Etlworks vs Airbyte Cloud
Airbyte Cloud focuses on ELT and custom connectors. Etlworks provides full enterprise integration with built-in ETL, CDC, API management, and automation.
Etlworks vs Qlik
Qlik focuses on real-time data streaming and analytics. Etlworks offers broader integration coverage with flexible deployment and fixed pricing.
Etlworks vs Palantir Foundry
Foundry combines integration with advanced analytics. Etlworks delivers core ETL, CDC, and workflow automation without enterprise-level cost or complexity.
Etlworks vs SSIS
SSIS is optimized for SQL Server with a steep learning curve. Etlworks is cloud-native, easier to use, and supports more connectors out of the box.
Etlworks vs Funnel.io
Funnel.io is built for marketing analytics. Etlworks supports broader integration scenarios across teams, platforms, and real-time pipelines.
Etlworks vs Jitterbit
Jitterbit and Etlworks both support API integration and EDI. Etlworks includes more built-in features, faster setup, and lower pricing tiers.
Etlworks vs Pentaho
Pentaho offers powerful open-source ETL. Etlworks is fully managed, easier to use, and supports modern workflows like CDC and streaming.