Over 2,000 data and AI experts rely on secure data movement platform to handle diverse datasets seamlessly across multi-cloud environments.
Discover why OpenETL is quickly becoming the go-to choice for developers and enterprises looking to simplify and scale their data integration workflows.
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Access our comprehensive suite of tools, packages, and resources designed to accelerate your data engineering workflows.
Compare performance metrics and optimize your data pipelines with our comprehensive benchmarking tools.
Access our Python package on PyPI for easy installation and integration into your Python-based workflows.
Deploy our containerized solutions from Docker Hub for consistent and reliable environments.
Experience the full power of OpenETL with our interactive sandbox demo. Create connections, build pipelines, and explore our platform without any setup required.
Get hands-on experience with OpenETL's complete feature set. Our sandbox environment includes pre-configured connectors, sample data, and all the tools you need to explore the platform interface.
Pre-configured connectors and sample data
Full dashboard interface exploration
No registration or setup required
Discover the comprehensive suite of features that make OpenETL the preferred choice for modern data engineering teams.
Leverage the power of Spark for scalable data processing, locally or on robust clusters.
Access a reliable and verifiable codebase, ensuring trust and authenticity in your ETL processes.
Automatically detect and handle data types for seamless and accurate data processing.
Track and analyze every step of your data pipeline with granular logs for maximum clarity.
Fetch data on demand from any API source, tailored to your workflow needs.
Run your ETL pipelines seamlessly on-premise, in the cloud, or hybrid setups.
Transform datasets with Python or Spark SQL, combining flexibility with performance.
Enable smart suggestions for optimal configuration, saving time and improving accuracy.
Define and manage custom schema types tailored to your specific data needs.
Effortlessly manage all your connectors from one unified, open-source platform.
Effortlessly collect data from platforms like HubSpot, Facebook, Google Sheets, and Salesforce. Scale integrations without compromising performance.
Transform raw data into actionable insights. Automate formatting, cleaning, and enrichment processes while maintaining data consistency across various pipelines.
Push your processed data to destinations like Snowflake, PostgreSQL, and Amazon Redshift. Enhance reporting and analytics with structured datasets.
Unlock the full potential of your data by connecting diverse sources to powerful destinations with ease. Our platform simplifies the ETL (Extract, Transform, Load) process, ensuring seamless data flow and efficient transformations for analytics and business intelligence.
Seamlessly connect to 550+ APIs, databases, and file systems to extract data in real time or on schedule. No-code connectors make onboarding new sources effortless.
Cleanse, enrich, and reshape your data using intuitive visual tools or custom Python/Spark SQL scripts. Ensure your data is analytics-ready and consistent across all pipelines.
Deliver processed data to leading warehouses and lakes like Snowflake, BigQuery, Redshift, and PostgreSQL. Automate loading for instant access and up-to-date analytics.
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Choose from flexible deployment options—on-premises, cloud, or hybrid—to suit your infrastructure needs and preferences.
Centralized multi-tenant management with intuitive self-service options for streamlined administration.
The passionate individuals behind OpenETL, driving innovation in data engineering and building the future of ETL solutions.
With a passion for innovation and a deep expertise in data engineering , our founder leads with vision and technical excellence.
With a focus on collaboration , our Team Lead drives project success by empowering team members and ensuring the delivery of high-quality solutions.
Ready to elevate your data integration game?