
KineDB
KineDB is a database engine that natively handles replication, merging, and versioning as core features, eliminating the need for separate sync layers, sharding projects, and audit bolt-ons. Every instance holds full history, enabling offline-first operation with delta-only sync, while servers stream write logs to object storage like S3 to remain stateless and ephemeral. Written in Rust, the engine runs embedded on a phone or clustered across a datacenter, and is currently in early access with design partners.
- Developer Tools
- Software Only
Funding
Raised to date
€850KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $926.5Kacross 1 round
€850K · Pre-Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $926.5K
Founders
Founder details are not available yet.
Product
Problem
Teams building distributed or offline-first applications typically bolt on separate sync layers, sharding infrastructure, and audit logging to their database. These add-ons create operational complexity, require migration weekends, and introduce failure points that compromise data consistency and user experience.
Solution
KineDB is a database engine that natively handles replication, merging, and versioning as core engine features rather than external modules. Every instance holds the full history, so peers can disconnect, keep writing, and reconnect with only changed data crossing the wire. The engine supports peer-to-peer discovery and automatic data rebalancing, eliminating sharding projects and replica configuration. Writes are permanent and addressable, enabling branching, merging, and rollback like code. Servers are ephemeral, streaming the write log to object storage such as S3, so durability lives in cloud storage while servers only provide speed.
Target Audience
Primary users are product and infrastructure engineers building offline-first mobile apps, distributed systems, or applications requiring built-in versioning and audit capabilities without operational overhead.
Features
- Embedded or clustered deployment: single engine runs on a phone or across a datacenter
- Native offline-first operation: full history on every instance, with delta-only sync on reconnect
- Peer-to-peer discovery and automatic data rebalancing, removing sharding and replica configs
- Versioned, addressable writes: branch, merge, and roll back data like code, with a built-in audit trail
- Ephemeral server architecture: write log streams to S3 or any object store, making servers stateless and disposable
- Written in Rust for performance and reliability