Data Storage

An embeddable, persistent key-value store optimized for fast storage environments. It is written in C++ and designed for high performance on flash drives and RAM, making it ideal for applications that need a fast, reliable database without the complexity of a distributed system.

A database platform that integrates server logic, authentication, and real-time synchronization into a single system. It allows developers to build full-stack applications with a single type system across client, server, and database, eliminating the need for separate backend services.

An open-source columnar database designed for high-performance real-time analytics. It handles massive data volumes with efficient compression, vectorized execution, and millisecond query response times across petabytes of data.

A high-performance, distributed NoSQL database built for predictable low-latency performance at massive scale. It handles high-throughput workloads with strong consistency guarantees and is designed as a drop-in replacement for Cassandra and DynamoDB.

A serverless data platform offering Redis, Kafka, QStash messaging, and vector search with per-request pricing, global replication, and HTTP/REST APIs for edge and serverless runtimes.

A fully managed, serverless PostgreSQL database with branching, scale-to-zero, and point-in-time restore for development and production workloads.

A distributed, SQLite-compatible database written in Rust. Each database is a lightweight file that can be spun up instantly, replicated globally, or synced to a device.

A PostgreSQL platform with copy-on-write branching, data anonymization for safe production clones, and scale-to-zero compute for development and production workloads.

An open-source, columnar database format built for multimodal AI data. It stores and queries vectors, text, images, video, and audio in a single table, with hybrid search and versioned data evolution.