6 tools compared
Best Matisse Alternatives in 2026
Matisse (Matisse is a post-relational SQL database) isn't the right fit for everyone. Below are 6 real alternatives pulled straight from our Matisse profile.
| # | Tool | Pricing | Platforms |
|---|---|---|---|
| 1 | Datomic | — | |
| 2 | Oracle TimesTen | — | |
| 3 | Valentina Server | — | |
| 4 | Datahike | — | |
| 5 | MarkLogic Server | — | — |
| 6 | Firestore | — |
1. Datomic
Datomic is a distributed database built for developers who need an append-only data model, strong consistency, and fully ACID-compliant transactions. It stands out for its time travel queries, which let you query the database as of any point in time for auditing and debugging, alongside a rich data model supporting maps and sets directly in the schema. Its separation of storage and compute also allows for horizontal scaling of read operations.
Full Datomic profile →2. Oracle TimesTen
Oracle TimesTen is an in-memory, relational database management system well-suited for applications that require real-time performance, extremely fast data access, and low latency compared to disk-based databases. It stands out for developers experienced with Oracle databases due to its support for SQL and PL/SQL, reducing the learning curve. Additionally, it offers high availability through replication and failover, as well as hybrid configurations with Oracle Database to extend scalability.
Full Oracle TimesTen profile →3. Valentina Server
Valentina Server is a 3-in-1 tool functioning as a Valentina DB Server, SQLite Server, and Report Server. It is well-suited for developers who need high performance through advanced caching mechanisms and an optimized query execution engine. Its multi-model support accommodates relational, object-relational, and NoSQL data models, while integrated Valentina Reports allow for generating complex reports directly within applications.
Full Valentina Server profile →4. Datahike
Datahike is a durable Datalog database tailored for developers seeking a persistent storage solution with schema flexibility, immutable data structures, and ACID-compliant transactional support. It suits projects that benefit from Datalog queries similar to Prolog, horizontal off-the-shelf scalability, and compatibility with the Datomic API.
Full Datahike profile →5. MarkLogic Server
MarkLogic Server is a multi-model database well-suited for organizations needing to manage documents, graphs, and relational data within complex environments. It stands out with enterprise features like ACID transactions, scalability, high availability, disaster recovery, and advanced security controls such as role-based access, encryption, and auditing. Additionally, it offers out-of-the-box integrated search capabilities and supports operational data hubs.
Full MarkLogic Server profile →6. Firestore
Firestore is a fully managed, scalable, and serverless document database well-suited for developers who need to build rich applications without handling server management, software patches, or replication. It features automatic scaling for large amounts of data and high read/write loads, a flexible schemaless data model, and strong consistency for reads and writes designed to maintain availability even during entire data center outages. Additionally, it provides seamless integration with other Google Cloud Platform services to simplify building end-to-end solutions.
Full Firestore profile →