Provides an open-source framework for building data-driven web applications using SQL, markdown, and customizable visualization components. It enables teams to create dynamic, publication-quality reports and dashboards that integrate narrative context, pre-built queries, and real-time data updates, reducing reliance on spreadsheets and improving data accessibility.
Funding
$2.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ACFounders
Product
Problem
Data teams often struggle with inflexible, black-box ELT tools that limit control over data pipelines and require reliance on vendor support for connector modifications or bug fixes. This lack of transparency and customizability hinders efficiency and increases costs, especially when dealing with niche or internal data sources.
Solution
Meltano is an open-source ELT framework that provides data engineers with the control and visibility needed to build and manage data pipelines as code. It offers a command-line interface (CLI) and version control, enabling users to customize connectors, integrate any existing data tool, and manage all data pipelines in one place. With Meltano, data teams can build custom connectors using the Meltano SDK, modify existing connectors, and test changes before deployment, ensuring transparency and increasing productivity.
Target Audience
Meltano is designed for data engineers and data teams who need a flexible, transparent, and customizable ELT solution to build and manage data pipelines for various data sources, including databases, SaaS applications, and internal APIs.
Features
- CLI-based tool for managing ELT pipelines as code
- Version control integration with Git for tracking changes and collaboration
- Meltano SDK for building custom connectors for niche or internal data sources
- Support for 600+ extractors and loaders via Meltano Hub
- Customizable connectors with the ability to modify existing connectors or create custom forks
- Detailed pipeline logs for monitoring and debugging
- Support for testing pipelines in isolated environments before deployment
- Integration with data transformation tools like dbt
- Ability to define pipeline templates and dynamically instantiate them based on API credentials