FaunaDB now offers a “Managed Serverless” service combining Fauna’s serverless database with a managed solution

Today, FaunaDB, announced the general availability of FaunaDB managed serverless database service. The new service will provide Fauna’s small and medium-sized enterprises (SMEs) and partners with flexibility and a customer-dedicated deployment of FaunaDB.

In a statement, Evan Weaver, CEO of Fauna said, “We are breaking new ground in the industry by offering the first fully managed serverless service, and we now deliver the best of both worlds.” He further adds, “Developers wanting a powerful data management component for cutting-edge app development can use FaunaDB, while companies wanting to avoid hands-on cloud configuration and maintenance can choose our managed serverless offering.”

FaunaDB managed serverless is a mature data management solution which will include all the features of FaunaDB. It currently supports Amazon Web Services (AWS) and Google Cloud Platform (GCP), and will come up with support for Azure soon. Its capacity is termed and priced on a monthly or annual basis. The serverless database is assisted by Fauna customer success enterprise support, which will give users access to technical support and customer service.

Operational controls delivered by FaunaDB Managed Serverless

Enterprise-grade support and SLAs

Change data feed or stream

Query log auditing

Operational monitoring integration

Customer-defined local endpoints

Customer-defined data locality

Backup and restore tailored to meet compliance needs

Isolated environments as needed for development, testing and staging

Nextdoor, a private social network, is already using FaunaDB Managed Serverless Database Service. The co-founder and chief architect of Nextdoor, Prakash Janakiraman says, “We selected FaunaDB for its API flexibility and scalability, security and availability to support global use of our mobile app. We are now using the managed service for its flexible configuration options and capabilities such as multiple development environments, change data feed and query log auditing.”

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