AntidoteDB
AntidoteDB is an open-source, self-hosted key-value database designed for high availability across geographic regions.
What AntidoteDB is
AntidoteDB is an open-source, self-hosted key-value database designed for high availability across geographic regions. It uses conflict-free replicated data types and synchronization-free operations to handle concurrent updates and partial failures. The system is intended to continue operating across server failures or network partitions, with transactions described as strongly consistent within a data center while supporting geo-replicated deployments. Supported data types include counters, sets, registers, maps, and replicated growable arrays. The native Erlang API is available through RPC, while a Protocol Buffer interface offers a more convenient but restricted client option. Client repositories are listed for Erlang, Java, JavaScript, Go, Python, and REST. A Docker quickstart demonstrates nodes in two single-node data centers, and a Java tutorial shows concurrent updates in a collaborative todo list. Static transactions can atomically update multiple objects or read a consistent snapshot, but cannot read and update in one transaction. AntidoteDB supports disk persistence, clustering, and multi-region deployment under the Apache-2.0 licence.
Good
- Open-source Apache-2.0 licence
- Supports geo-replication and network-partition resilience
- Provides several CRDT data types
- Offers Erlang, Protocol Buffer, and client repositories
- Supports clustering and disk persistence
Watch out
- Self-hosted deployment required
- Static transactions cannot read and update together
- Protocol Buffer interface is restricted
- Native API is Erlang-focused
Who it suits
It suits developers and researchers building self-hosted, distributed applications that need replicated data and multi-region operation. Users should be comfortable deploying nodes and choosing among its client interfaces.
Verdict
AntidoteDB provides a distributed CRDT database with documented clients, Docker deployment, and multi-region features. Its transaction restriction and self-hosted operating model should be assessed against your application design.
The facts
Each one read from AntidoteDB's own pages, with the date it was checked.
What it does
- Client APIs
- The documentation describes a native Erlang API and a more restricted Protocol Buffer interface for client applications.checked 9 Oct 2026
- Client interfaces
- The project lists Erlang, Java, JavaScript, Go, Python, and REST client repositories for its Protocol Buffer API.checked 10 Oct 2026
- CRDTs
- Its replicated data types are designed to handle concurrent updates and partial failures.checked 10 Oct 2026
- Database
- AntidoteDB describes itself as a planet scale, highly available, transactional database.checked 9 Oct 2026
- Data types
- The native API documentation lists counters, sets, registers, maps, and replicated growable arrays among supported CRDTs.checked 9 Oct 2026
- Deployment
- The project documents native, Docker, Docker Compose, Docker Swarm, and Kubernetes deployment options.checked 10 Oct 2026
- Execution model
- Its operations are based on synchronization-free execution.checked 9 Oct 2026
- Geo-replication
- It is designed to run across servers in locations worldwide and continue functioning through failures or network partitions.checked 10 Oct 2026
- Intended users
- The documentation directs users to quickstarts, clients, deployment, and architecture, and directs researchers to benchmarking and tools.checked 10 Oct 2026
- Java client
- The Java tutorial demonstrates a collaborative todo-list application with concurrent updates on two AntidoteDB nodes.checked 9 Oct 2026
- License
- The AntidoteDB repository identifies its license as Apache-2.0.checked 10 Oct 2026
- Native API
- The native Erlang API can be invoked through RPC; the documentation describes the Protocol Buffer interface as a more convenient but restricted client option.checked 10 Oct 2026
- Product
- AntidoteDB is a highly available, geo-replicated key-value database built on CRDT technology.checked 10 Oct 2026
- Project audience
- The documentation points users to quickstart, clients, deployment, and architecture sections, and directs researchers to benchmarking and tools.checked 9 Oct 2026
- Support
- The documentation invites users to join its Slack channel and contact [email protected] for an account.checked 10 Oct 2026
- Transactions
- Its highly available transactions provide strong consistency within a data center and are designed to perform in geo-replicated deployments.checked 10 Oct 2026
- Transactions limit
- For static transactions, the documentation says a client can atomically update multiple objects or read multiple objects from a consistent snapshot, but cannot read and update in the same transaction.checked 9 Oct 2026
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