We built Optra on Fauna to help us focus on development instead of administrative tasks. The serverless architecture and flexible data model allowed the Optra team to rapidly build and bring Optra Edge to market.

Fauna is a ‘fire and forget’ globally distributed database. We’ve tried them all, and only Fauna is truly serverless. We chose Fauna because it offers us the flexibility of document models for getting started, but it has key relational database features like ACID transactions and stored procedure-like capabilities with user-defined functions (UDFs).

We needed a database that could support a distributed, multi-tenant architecture with robust ABAC and user controls. We looked at Dynamo and Mongo, but only Fauna delivered it all without extensive engineering. Fauna's multi-tenancy and attribute-based security model enables us to provide each customer with their own individual, personalized, and encrypted database for storing their personal information like passwords, credit cards, and recovery emails.

Insights.GG has 125,000 daily active users, with over one million downloads across Asia, North America, and Europe. PostgreSQL and CockroachDB couldn't scale automatically beyond one region, so we switched to Fauna which resulted in a 70% reduction in latency across all regions while reducing our operational costs.

Fauna is the data API of choice for our applications. The rich, versatile feature set helps us build business logic faster, and it is backed by an awesome user community and customer support that we love.

Fauna balances the read times of a NoSQL database with the reduced round trips and data footprints of a relational database. Our core data logic lives in the database layer, reducing complex denormalization logic that used to live in Lambda Functions because of DynamoDB’s querying limitations. As an added bonus, because FQL is basically JavaScript, our front-end devs can easily contribute.

Adopting Fauna and Compute@Edge early on has been instrumental in our ability to test and release features quickly. It allows us to maintain our data logic in a single place, and provides enough flexibility to adapt to different requirements across our application.