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Meltano Releases Version 2.0, Raises $8.2 Million In Funding

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Meltano has announced the release of version 2.0 of its open source DataOps platform infrastructure. The company has also raised an additional $8.2 million, bringing its total seed round funding to $12.4 million with plans to further extend the project’s capabilities. The funding round was led by Venrock, with additional participation by Alphabet’s GV, Uncorrelated Ventures, Data Tech Fund and numerous angel investors.

Meltano’s ELT (extract, load, transform) capabilities quickly attracted attention from a growing group of upstream contributors and enterprise users. The momentum behind the Meltano DataOps Platform Infrastructure underscores the market need for an open source alternative to traditional ELT solutions and other data tools that embrace software development best practices, offer a DevOps-like workflow and a wide array of integrations.

Version 2.0 is the Minimum Viable Product (MVP) release of Meltano as an end-to-end DataOps Platform Infrastructure, which features the following open source components: Singer taps and targets for data replication (EL), dbt for data transformation, Airflow for pipeline scheduling and workflow orchestration, Great Expectations for data quality as well as Superset for analysis.

The Meltano 2.0 release also elevates MeltanoHub to be the complete resource for modern data stack components available for use with Meltano. This includes the large library of Singer connectors and data utilities like SQLFluff. Users are also able to add more plugins to the Hub and have them immediately discoverable and usable within Meltano.

Meltano was launched as a spinoff of GitLab in June 2021 with financial backing from a number of notable venture capital and angel investors including GV. With the launch of version 2.0, the Meltano project is moving from GitLab to GitHub. The migration of code and collaboration to the GitHub platform supports the growth of the Meltano community and lowers the barrier to contribution for those already involved in other open source data projects.

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