GitFounders5 Open Source Alternatives to Supermetrics
A list of 5 carefully selected open-source alternatives to Supermetrics.
The open-source alternatives are ranked based on our custom ranking system and score. This system takes into account various factors to determine the best alternatives.
If you’re looking for alternative features or workflows, here is a prepared detailed list of Supermetrics open-source alternatives — each with its own distinctive strengths and key features.
Airbyte is the leading data integration platform providing robust ETL/ELT pipelines for extracting, transforming, and loading data across diverse sources such as APIs, databases, and files into modern data warehouses, data lakes, and lakehouses. It is available in both self-hosted and cloud-hosted versions to suit organizations of all sizes.
Key Features
- 550+ pre-built connectors for structured and unstructured data
- Low-code/no-code and AI-powered custom connector builder
- Flexible deployment: self-hosted, cloud, or hybrid
- Enterprise-grade security and compliance (ISO, SOC 2, GDPR, HIPAA)
- Seamless integration with CI/CD tools, APIs, and Terraform
Airbyte connects over 550+ data sources with pre-built connectors and empowers teams to build custom connectors using low-code/no-code or AI-assisted tools. It streamlines data operations, accelerates AI innovation, and offers flexible deployment options—including self-managed and enterprise-grade solutions—with robust security, governance, and integration capabilities with CI/CD tools and APIs.
Mage is an intuitive platform that streamlines the creation, management, and deployment of data pipelines in minutes. It enables teams to integrate and transform data with ease, powered by AI-driven insights and an interactive interface.
Key Features
- Modular pipeline blocks for reusable and scalable workflows
- AI-powered code recommendations and instant debugging
- Supports multiple pipeline types including batch, streaming, ML, and RAG
- Seamless integration of Python, SQL, R, and dbt
- Collaboration workspaces with continuous deployment capabilities
Mage empowers users to build, deploy, and run data pipelines using a modular block approach that breaks complex tasks into manageable units. The platform supports batch, streaming, ML, and RAG pipelines while allowing seamless integration of Python, SQL, R, and dbt. With features like instant debugging, best practice recommendations, and continuous deployment, Mage simplifies data engineering and scales to meet demanding workloads.
Artie is a database replication platform that leverages change data capture to stream production data to data warehouses in real time. It simplifies the process of syncing your databases with popular destinations like Snowflake, BigQuery, Redshift, and Databricks, making data integration effortless.
Key Features
- Real-time data replication using CDC
- Secure database connections with SSH tunneling and IP whitelisting
- Intuitive dashboard and Terraform support for streamlined configuration
- Flexible deployment options in cloud, VPC, or on-premise
- Advanced monitoring with automatic alerts and granular metrics
- Adaptive schema drift support and non-intrusive backfills
Artie automates the process of replicating data from your source databases into your data warehouse with a fully managed change data capture pipeline. The platform offers secure connectivity options, an intuitive dashboard, and flexible deployment methods, including cloud and on-premise environments. It also supports advanced configurations such as schema drift detection, non-intrusive backfills, and real-time monitoring.
Prefect is an open-source workflow orchestration framework designed for building resilient data pipelines in Python. It empowers developers to automate complex tasks and manage workflows efficiently, ensuring robust and scalable data operations.
Key Features
- Workflow orchestration and dynamic scheduling
- Resilient management of complex data pipelines
- Python-native task definition and dependency tracking
- Real-time monitoring and robust failure handling
Prefect enables the design, scheduling, and monitoring of data pipelines with ease. The tool provides a flexible platform built on Python, where developers can define tasks and dependencies through simple code. With dynamic scheduling, failure handling, and real-time monitoring, Prefect supports the construction of resilient workflows that integrate seamlessly with various data platforms and cloud services.
Jitsu is an open-source event data ingestion engine designed as a robust alternative to Segment. It empowers modern data teams to set up a real-time data pipeline in minutes, offering complete flexibility with a warehouse-first approach and fully-scriptable integrations.
Key Features
- 100% open-source with MIT license
- Real-time event streaming with sub-second data delivery
- Automatic schema management and deduplication
- Developer-friendly functions for event transformation
- Multiple deployment options: Cloud, Private Cloud, and On-Prem
Jitsu captures event data from diverse sources—web, app, email, and chatbots—and streams it in real time to your preferred data warehouse. With automatic schema management, deduplication, and built-in functions for data transformation, it supports a seamless integration process. The platform is 100% open-source (MIT license) and offers flexible deployment options including self-hosting, cloud, and private cloud.
Price comparison of Supermetrics open-source alternatives
| Tool | Tier 1 | Tier 2 | Tier 3 | Details |
|---|---|---|---|---|
 | - Volume-based Cloud Pricing | - Capacity-based Teams & Enterprise Pricing | - | Learn more |
 | $0 Free | $99 Business | - Enterprise | Learn more |
* Pricing shown is based on publicly available information and may not reflect current rates. Visit each tool's website for detailed pricing information and additional tiers.
About Supermetrics
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Supermetrics
Supermetrics specializes in data integration tools that make it easier for marketing analysts and business intelligence teams to move and integrate data to data warehouses, business intelligence tools, and applications such as Google Data Studio, Google Sheets, and Microsoft Excel.
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