What is Datahike?
It is a durable Datalog database powered by an efficient Datalog query engine. It is considered usable for medium-sized projects.
Datahike is a tool in the Databases category of a tech stack.
Datahike is an open source tool with 1.6K GitHub stars and 97 GitHub forks. Here’s a link to Datahike's open source repository on GitHub
Datahike Integrations
Datahike's Features
- Durable Datalog database
- Powered by an efficient Datalog query engine
- Usable for medium sized projects
Datahike Alternatives & Comparisons
What are some alternatives to Datahike?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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