Tool profile
Datahike
A durable datalog database adaptable for distribution.
What is 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.
Because exact pricing details and specific tier structures are not listed in the provided facts, you will need to check their official resources for current plan information. Additionally, the platform availability is strictly listed as Web.
Features
Persistence
Datahike is a persistent database, which means that it retains data across sessions and can be relied upon for storage that survives application restarts.
Datalog queries
Datahike supports Datalog queries, a powerful and expressive query language that is similar to Prolog, allowing for complex querying of data relationships.
Schema flexibility
Datahike provides schema flexibility that allows developers to define and evolve their data models without needing to perform migrations. This can significantly speed up development.
Immutable data structures
By utilizing immutable data structures, Datahike allows safe concurrent reads and writes, reducing the risk of data corruption and improving application stability.
Transactional support
Datahike offers ACID-compliant transactions, ensuring data integrity and consistent state even in the face of concurrent operations.
Integration with Datomic API
Datahike is designed to be compatible with the Datomic API, making it easier for developers familiar with Datomic to transition and leverage their knowledge.
Off-the-shelf scalability
The architecture of Datahike is conducive to scaling horizontally, providing flexibility to handle growing amounts of data and user load.
Screenshots
Datahike vs. its alternatives
| Datahike |  Datomic |  Oracle TimesTen |  Matisse |  Frontbase | |
|---|---|---|---|---|---|
| Pricing | — | — | — | — | — |
| Platforms | — | — | |||
| Listed features | 7 | 6 | 6 | 4 | — |
Frequently asked questions
How much does Datahike cost?
Exact pricing details are not listed in the available facts, so check their official site or pricing page for current plans.
What is Datahike used for?
Datahike is used as a durable Datalog database that supports persistent storage surviving application restarts, complex data relationship querying, and schema evolution without migrations.
What platforms is Datahike available on?
Datahike is available on the Web platform.
Does Datahike support Datalog queries?
Yes, Datahike supports Datalog queries, which is a powerful and expressive query language similar to Prolog designed for complex querying of data relationships.
How does Datahike handle data integrity and concurrency?
Datahike utilizes immutable data structures and offers ACID-compliant transactions, which allows safe concurrent reads and writes while maintaining data integrity.
What are the best alternatives to Datahike?
Known alternatives include Datomic, Oracle TimesTen, and SAP MaxDB. Developers familiar with Datomic may prefer Datomic for its API compatibility, while others might explore Oracle TimesTen or SAP MaxDB depending on their specific enterprise database requirements.
Alternatives to Datahike
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