Fauna

Market position

Fauna competed in the operational database market against established and well-funded alternatives including MongoDB, CockroachDB, Microsoft Azure Cosmos DB, Amazon DynamoDB and Google Spanner. At its 2020 funding round it had raised $57 million in total and employed about 40 people; by its 2025 shutdown it reported 25,000 developers using the service and named enterprise development teams at Tyson Foods, Unilever, Lexmark and Anaplan as customers. Its closure was cited in industry commentary as an example of the difficulty and capital intensity of commercializing a new proprietary database as a service.

FaunaDB combined a document data model with relational capabilities — strong consistency, joins, foreign keys and full schema enforcement — delivered as a serverless, globally distributed managed service accessed via API. Madrona's S. Somasegar described the approach as distinct from MongoDB, CockroachDB, Azure Cosmos DB and Amazon DynamoDB, arguing that FaunaDB extended the serverless experience to the database layer. Commentators after the shutdown argued that the proprietary, closed-source model and limited cloud coverage constrained adoption relative to open-source distributed database alternatives.

Technology

FaunaDB is a distributed, serverless operational database that stores data as JSON documents while preserving relational features: strong consistency, joins, foreign keys and full schema enforcement. It provides low-latency global access to both relational and document data and is queried through the company's own language, FQL, with client drivers and a command-line interface. The service is cloud-native and multi-cloud, running on AWS and Google Cloud, and is consumed via API by serverless applications rather than provisioned as dedicated database servers.

Go-to-market

The company pursued a developer-led adoption strategy, appealing first to individual developers through a self-serve, free and pay-as-you-go service in order to build bottom-up adoption inside enterprises, an approach Madrona compared to MongoDB's path, in contrast to a purely top-down technical sales motion. Paid Startup, Pro and Enterprise tiers layered support and enterprise features on top.

Application developers building cloud and serverless applications, plus enterprise development teams; named customers included Tyson Foods, Unilever, Lexmark and Anaplan.

Geography

Headquartered in San Francisco and operating fully remotely since its founding; a later company description listed San Francisco and Boston. The service was delivered globally on Amazon Web Services and Google Cloud.

History

The company was founded in 2011 by Evan Weaver, former director of infrastructure at Twitter, and Matt Freels, former technical lead of Twitter's database team, who served as chief architect; a Forbes Technology Council profile gives the founding year as 2012. It operated remotely from the outset while maintaining a San Francisco base, later described as based in San Francisco and Boston. In July 2020 Madrona Venture Group led a $27 million investment, bringing total funding to $57 million; at the same time Eric Berg became CEO, Weaver moved to CTO, and Bob Muglia joined as executive chairman. Weaver left the company in 2023. In March 2025 the leadership team announced that Fauna would sunset its database service on May 30, 2025, citing the capital intensity of driving broad adoption of a globally operated database service and the board's and investors' conclusion that the necessary capital could not be raised independently.

Risks & controversies

The company shut down its service in 2025 after its board and investors concluded that the capital required to drive broad adoption of a globally run operational database could not be raised independently, requiring customers to migrate applications and data within roughly two months and resulting in permanent deletion of accounts and data thereafter. The announcement drew public criticism from users about the risks of depending on a single unprofitable vendor for critical infrastructure, and some developers reported that FaunaDB was cumbersome to develop against and cited defects such as errors when storing decimal values, prompting migrations to alternatives such as MongoDB. Observers also argued that the closed-source model limited adoption.