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Immutable database and Datalog query engine for Clojure, ClojureScript and JS
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What is DataScript?

It is an immutable in-memory database and Datalog query engine in Clojure and ClojureScript. It is meant to run inside the browser. It is cheap to create, quick to query and ephemeral. You create a database on page load, put some data in it, track changes, do queries and forget about it when the user closes the page.
DataScript is a tool in the In-Memory Databases category of a tech stack.
DataScript is an open source tool with 3.7K GitHub stars and 246 GitHub forks. Here’s a link to DataScript's open source repository on GitHub

Who uses DataScript?

DataScript Integrations

Pros of DataScript
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DataScript's Features

  • Database as a value
  • Triple store model
  • EAVT, AEVT and AVET indexes
  • Multi-valued attributes
  • Implicit joins
  • Query over DB or regular collections

DataScript Alternatives & Comparisons

What are some alternatives to DataScript?
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.
It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
See all alternatives