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╔═══ Litebase ════════════════════════════╗
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║ client ║░───API──▶║ ┃ Memory/ ┃────▶┃ Object ┃ ║░
║ ║░ ║ ┃ SSD Cache ┃ ┃ Storage ┃ ║░
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░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░Litebase is a high-performance storage and streaming platform that combines immutable data storage with real-time event processing. It is designed for applications requiring scalable, low-latency access to structured and unstructured data, making it ideal for AI workloads, analytics, and high-throughput transactional systems.
Litebase operates with a stateless compute architecture, utilizing NVMe SSDs and in-memory caching for ultra-fast reads while persisting all data in low-cost object storage. This architecture enables high-speed queries and event streaming while keeping costs significantly lower than traditional disk-based databases.
Litebase only caches actively accessed data, offloading the rest to object storage. Cold queries retrieving data from object storage take ~500ms (p90) for large-scale lookups, while warm queries served from cache take ~27ms (p50), providing in-memory database performance without the associated infrastructure costs.
By eliminating replicated disks and relying solely on object storage and cache, Litebase provides a cost-effective alternative to traditional key-value and streaming databases, even for frequently accessed data.
Litebase is optimized for real-time processing and first-stage data retrieval, making it highly efficient for AI inference caching, log processing, and event-driven workflows. Unlike traditional databases, it focuses on high-speed, scalable access patterns, ensuring that applications remain fast, efficient, and easy to integrate.
To get started with Litebase, see the Quickstart Guide.
For more details, see Architecture, Guarantees, and Tradeoffs.