Graph-Relational Database Firm EdgeDB Secures $15M Funding Round

EdgeDB

One of the first open source graph-relational databases, EdgeDB, has revealed a $15 million Series A investment headed by Nava Ventures and Accel, with participation from industry heavyweights such as Vercel, Firebase, GitHub, IBM, OpenAI, ICONIQ Capital, and Netlify.

Launched in 2019, EdgeDB says it is reimagining relational databases with a focus on the developer experience. With over 20,000 monthly active users and 9.5 thousand GitHub ratings, the company’s database has experienced quick acceptance.

The most recent financing will be utilized to further EdgeDB Cloud development and grow the development staff for EdgeDB. Freddie Martignetti, the founder of Nava Ventures, and Accel Partner Daniel Levine will both join the EdgeDB Board of Directors as a result of this funding round.

EdgeDB Cloud is anticipated to launch in Q1 2023 and will offer native connectors with GitHub, Vercel, and Netlify in addition to zero-configuration DevOps, an easy UI, and close connection with the current EdgeDB tools.

“Databases have always been and will always be the defining piece of any technological stack,” said Yury Selivanov, co-founder and CEO of EdgeDB. “While there has been a lot of activity and interesting developments in databases in the past decade, relational databases are built on a model that is decades old and has become increasingly inadequate for the rapidly transforming software development field. Organizations are looking for modern, scalable systems that can help reduce costs while accelerating development, which is why we built EdgeDB.”

SQL and Relational Schema Modeling

Yury Selivanov, co-founder and CEO of EdgeDB
“Organizations are looking for modern, scalable database systems that can help reduce costs while accelerating development, which is why we built EdgeDB,” said Yury Selivanov, co-founder and CEO of EdgeDB.

EdgeDB has been embraced by several startups, including BeatGig, a Y Combinator company.

“EdgeDB’s high level data model, coupled with their new query language EdgeQL, transformed the way we built our product,” said Jeremy Berman, co-founder and CTO of BeatGig. “It has simplified our backend development and allows us to ship much faster. It solved the N+1 problem for us since we can easily create complex queries that return all the info we need in a single request. We don’t even need to cache anymore because queries run so efficiently that all the data we’d normally cache can be just queried in an instant.”

In order to overcome several significant ergonomic issues with SQL and relational schema modeling, EdgeDB is an open-source graph-relational database that would also enhance type safety and performance. A relational database with an object-oriented data architecture, a rigid graph schema, and a contemporary query language would make up the foundation of EdgeDB. EdgeDB would include “first-rate” schema migration tools, a practical graphical user interface, and comprehensive client libraries for the most popular programming languages.

“Existing databases lack composability in their data models and query languages. They are unnecessarily slow and hard to build with,” said Freddie Martignetti, founder of Nava Ventures. “EdgeDB was built from the ground up with the modern developer in mind, by co-founders who understand the problem first-hand. Yury and Elvis are so laser focused on serving the developer community, we at Nava are thrilled to be supporting them.”

Management Summary

EdgeDB, the first graph-relational database, raises $15M in Series A funding led by Nava Ventures and Accel

  • EdgeDB is reimagining relational databases with a focus on the developer experience
  • The most recent financing will be utilized to further EdgeDB Cloud development and grow the development staff for EdgeDB

SQL and Relational Schema Modeling

  • In order to overcome several significant ergonomic issues with SQL and relational schema modeling, EdgeDB is an open-source graph-relational database that would also enhance type safety and performance
  • EdgeDB would include “first-rate” schema migration tools, a practical graphical user interface, and comprehensive client libraries for the most popular programming languages
  • Existing databases lack composability in their data models and query languages