Supermetrics Alternatives
A curated collection of the 6 best alternatives to Supermetrics.
The best alternative to Supermetrics is Airbyte. If that doesn't suit you, we've compiled a ranked list of other open source Supermetrics alternatives to help you find a suitable replacement. Other interesting alternatives to Supermetrics are: Prefect, Mage, CloudQuery and Jitsu.
Supermetrics alternatives are mainly Data Engineering & Integration but may also be Data Sync Engines or API Data Extractors. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Supermetrics.
Seamlessly sync data from any source to any destination with a flexible, extensible platform that grows with your data needs.

Airbyte revolutionizes data integration with its powerful, open-source platform designed for modern data teams. By offering a comprehensive solution for extracting and loading data, Airbyte empowers organizations to build robust data pipelines without the complexities of traditional ETL tools.
Key benefits of Airbyte include:
- Extensive connector library: Access over 300+ pre-built connectors for popular data sources and destinations, enabling quick setup and integration.
- Custom connector development: Easily create and maintain your own connectors using Airbyte's Low-Code CDK, expanding your integration capabilities.
- Flexible deployment options: Choose between Airbyte Cloud for a managed solution or self-host on your infrastructure for complete control.
- Data sovereignty and security: Maintain full ownership of your data with end-to-end encryption and compliance with data protection regulations.
- Community-driven innovation: Benefit from a vibrant open-source community that continuously improves and expands the platform.
- Scalability and reliability: Handle large-scale data operations with a distributed architecture designed for performance and fault tolerance.
Whether you're a startup or an enterprise, Airbyte adapts to your evolving data needs, providing a future-proof solution for building your modern data stack. Join the data integration revolution and unlock the full potential of your data with Airbyte.
Looking for alternatives to other popular services? Check out other posts in the alternatives series and wtcraft.com, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Prefect offers modern tools to build, monitor, and react to data workflows efficiently and reliably.

Prefect is a powerful open-source workflow orchestration tool designed for data engineers and ML practitioners. It provides a pure Python approach to defining workflows, allowing you to write code naturally without strict DAG structures.
Key benefits include:
- Resilient by design: Automated retries, caching, and extensive error handling keep your pipelines running smoothly.
- Full observability: A comprehensive dashboard gives you visibility into workflow status, performance, and logs.
- Easy local development: Test workflows locally before deploying to production with minimal configuration changes.
- Flexible infrastructure: Run your code on your preferred infrastructure, from local machines to cloud services.
Prefect stands out with its developer-friendly approach. It eliminates boilerplate code and allows for complex logic within workflows, including loops and conditionals. The platform also offers robust scheduling capabilities and prioritized alerting to keep you informed of critical issues.
Whether you're building ETL pipelines, machine learning workflows, or data-intensive applications, Prefect provides the tools to make your workflows more reliable and easier to manage at scale.
Open-source data pipeline platform for effortless data integration, transformation, and orchestration using Python, SQL, and R.

Mage AI revolutionizes data engineering with its intuitive, powerful, and flexible platform. This open-source tool empowers data teams to build, preview, and deploy data pipelines with ease, offering a superior alternative to complex solutions like Airflow.
Key benefits include:
- Easy Developer Experience: Start locally with a single command or launch in your cloud using Terraform.
- Language Flexibility: Write code in Python, SQL, or R within the same pipeline for ultimate versatility.
- Built-in Best Practices: Modular, reusable, and testable code with data validations.
- Instant Feedback: Interactive notebook UI for immediate results and collaborative development.
- Data-Centric Approach: Version, partition, and catalog data produced by each code block.
- Scalability: Transform large datasets in your data warehouse or through native Spark integration.
- Simplified Deployment: Deploy to AWS, GCP, Azure, or DigitalOcean with just two commands.
- Comprehensive Observability: Built-in monitoring, alerting, and intuitive UI for operational excellence.
Mage AI streamlines the entire data pipeline process, from development to production, making it an indispensable tool for modern data teams seeking efficiency and scalability.
CloudQuery is an open-source ELT platform that enables easy data integration from hundreds of cloud and security tools to any destination.

CloudQuery is a powerful open-source ELT (Extract, Load, Transform) platform designed for simplicity, performance, and extensibility. It allows users to easily sync data from hundreds of cloud and security tools to any destination.
Key features and benefits:
- Wide range of integrations: CloudQuery supports hundreds of source plugins, including major cloud providers (AWS, GCP, Azure), security tools, and more.
- Flexible destinations: Data can be loaded into various destinations, including databases, data warehouses, and analytics platforms.
- High performance: Native connectors and columnar data streaming protocol ensure low memory footprint and increased performance.
- Simplicity and portability: The CloudQuery CLI and connectors have zero external dependencies, making it easy to run locally, in the cloud, or embedded in orchestrators.
- Open-source SDK: Developers can write custom connectors in any language using the CloudQuery SDK, which provides built-in scheduling, rate-limiting, transformation, and documentation capabilities.
- Versatile use cases: CloudQuery can be used for cloud infrastructure and security analysis, database migration, engineering analytics, and more.
CloudQuery's architecture makes it ideal for businesses looking to centralize their data from various sources, enabling better decision-making, improved security posture, and streamlined operations. Whether you're a cloud team, product manager, or developer, CloudQuery offers a flexible solution for your data integration needs.
Collect, transform, and sync data across your entire infrastructure with a flexible, code-based approach to data integration.

Jitsu is a powerful, open-source data integration platform designed for modern data stacks. It enables seamless data collection, transformation, and synchronization across your entire infrastructure.
Key benefits of Jitsu include:
- Flexibility: Build custom data pipelines using JavaScript, allowing for complex transformations and business logic implementation.
- Real-time capabilities: Stream data in real-time to your data warehouse or analytics tools, ensuring up-to-date insights.
- Wide range of integrations: Connect to popular data sources, destinations, and tools out-of-the-box, with easy extensibility for custom integrations.
- Data privacy and security: Self-host Jitsu for complete control over your data, ensuring compliance with privacy regulations.
- Cost-effective: Reduce data integration costs with an efficient, open-source solution that scales with your needs.
- Community-driven: Benefit from a growing ecosystem of contributors and users, constantly improving and expanding the platform.
Jitsu empowers data teams to take control of their data flows, enabling faster decision-making and more efficient data operations. Whether you're dealing with event tracking, customer data, or complex ETL processes, Jitsu provides the tools and flexibility to handle your data integration needs effectively.
Streamline your data pipeline with change data capture, enabling sub-minute latency and optimized compute costs for database replication.

Artie revolutionizes database replication with its cutting-edge, real-time solution for databases and data warehouses. By leveraging change data capture and stream processing, Artie performs data syncs with unprecedented efficiency, delivering sub-minute latency while optimizing compute costs.
Key benefits of Artie include:
- Real-time data streaming: Continuously sync data changes as they occur, eliminating lag and ensuring up-to-date information.
- Minimal impact on source databases: Utilizes log-based replication for non-intrusive, high-performance data transfer.
- Automatic schema evolution: Handles stateful data and schema changes (DMLs and DDLs) in-flight, requiring zero maintenance.
- Scalability: Grows with your data volume, maintaining speed whether you're dealing with gigabytes or terabytes.
- Cost-effective: Reduces network traffic and compute costs by processing only changed data.
- Reliable recovery: Leverages Apache Kafka for seamless crash or outage recovery without data loss.
- Customizable deployment: Offers flexible deployment options, including hybrid and on-premise solutions for enterprise needs.
- Security-focused: Encrypts all data at rest and in-transit, with options for deployment within your VPC for enhanced data privacy.
Artie empowers data and engineering teams to build robust, real-time data pipelines without the complexity and overhead of traditional batch processing methods.
Similar proprietary alternatives:


