November 2022 Summaries

EdgeDB has successfully raised $15 million in its Series A financing round. The company's core product is an open-source graph-relational database that prioritizes developer experience, productivity, and performance. In July 2022, they released EdgeDB 2.0 with built-in access control, rich UI, and other features. They plan to release EdgeDB 3.0 in March 2023, which will include built-in full-text search, tools for query performance analysis, new capabilities of the built-in graphical UI, streamlined schema migrations, and enhancements to the query language. Additionally, they are working on launching a Cloud Beta version with the goal of reaching general availability in early 2023. The Series A was led by Nava Ventures and Accel, with other prominent funds and angels joining the round. EdgeDB's team is made up of experienced open-source contributors and engineers, and they are currently hiring for various positions.

EdgeDB, an open-source graph-relational database, has successfully raised $15 million in a Series A financing round led by Nava Ventures and Accel, with participation from other notable investors. The database aims to revolutionize data management by offering a human-friendly data model and a modern query language, EdgeQL, replacing traditional SQL. With the recent release of EdgeDB 2.0, which includes features like built-in access control and a rich UI, the team plans to launch EdgeDB 3.0 in March 2023, introducing full-text search and performance analysis tools. Furthermore, the company is preparing to launch a Cloud Beta, enabling users to experience a seamless, low-configuration cloud database service. EdgeDB has garnered a strong user community and has been adopted by startups like BeatGig, which have benefited from its efficient data handling capabilities. The co-founders, who are seasoned open-source contributors, are expanding their skilled team to further develop EdgeDB and its cloud services.

The announcement of an official .NET binding for EdgeDB has been made. This new library, developed by Quin Lynch, aims to provide a seamless integration between the two platforms. Key features include zero-config connectivity, automatic reconnection on network errors and retrying on transaction serialization errors, efficient data serialization and protocol implementation, abstracting away connection pooling complexity, and an easy-to-use API. The .NET binding is built with performance and developer experience as top priorities, using a fully asynchronous implementation and high-performance .NET design patterns like Span<T>. Instructions on how to get started with the new driver are provided, along with examples of basic queries and advanced data modeling. Transactions are also supported out of the box, automatically rolling back queries in case of non-retryable errors. The State API allows for configuration changes while efficiently sharing the same underlying client pool. Future developments include a query builder to provide an EFCore-like feel without the drawbacks of an ORM and a codegen tool to generate .NET code from .edgeql files.

EdgeDB has officially launched its .NET binding, EdgeDB.Net, designed as an idiomatic client for seamless integration with EdgeDB, emphasizing zero-config connectivity, automatic reconnection, and efficient data handling. The client prioritizes performance and developer experience, leveraging asynchronous .NET patterns and supporting advanced data modeling with strict typing and polymorphism. Users can easily set up and start querying with EdgeDB.Net by installing the driver and utilizing familiar .NET types for schema mapping. The client supports transactions with automatic retries and rollbacks, along with a State API for granular client configuration, making use of methods like WithGlobals and WithConfig to adjust client behavior. Future developments for EdgeDB.Net include a query builder for a more EFCore-like experience and a code generation tool to create .NET code from .edgeql files, both of which are in early stages and available for feedback through GitHub and the EdgeDB Discord community.