Home
Application and Data
Data Stores
In-Memory Databases

Apache Ignite vs LokiJS

Need advice about which tool to choose?Ask the StackShare community!

Apache Ignite
99
168
+ 1
41
LokiJS
38
57
+ 1
3
Add tool

Apache Ignite vs LokiJS: What are the differences?

Developers describe Apache Ignite as "An open-source distributed database, caching and processing platform *". It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale. On the other hand, *LokiJS** is detailed as "In-memory JavaScript Datastore with Persistence". LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

Apache Ignite and LokiJS can be primarily classified as "In-Memory Databases" tools.

Apache Ignite and LokiJS are both open source tools. It seems that LokiJS with 5K GitHub stars and 388 forks on GitHub has more adoption than Apache Ignite with 2.67K GitHub stars and 1.3K GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Apache Ignite
Pros of LokiJS
  • 5
    Written in java. runs on jvm
  • 5
    Multiple client language support
  • 5
    Free
  • 5
    High Avaliability
  • 4
    Rest interface
  • 4
    Sql query support in cluster wide
  • 4
    Load balancing
  • 3
    Distributed compute
  • 3
    Better Documentation
  • 2
    Easy to use
  • 1
    Distributed Locking
  • 3
    Can query the objects directly

Sign up to add or upvote prosMake informed product decisions

What is Apache Ignite?

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

What is LokiJS?

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Apache Ignite and LokiJS as a desired skillset
Fullstack Engineer
LaunchDarkly
Oakland, California, United States
View Job Details
EscapeGoogleage+15
What companies use Apache Ignite?
What companies use LokiJS?
Manage your open source components, licenses, and vulnerabilities
Learn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Apache Ignite?
What tools integrate with LokiJS?
What are some alternatives to Apache Ignite and LokiJS?
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.
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.
Hazelcast
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.
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.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
See all alternatives

Related Comparisons

LokiJS vs RedisLokiJS vs MemSQLAerospike vs LokiJSLokiJS vs VoltDBLokiJS vs SummitDB

Trending Comparisons

Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

Top Comparisons

Postman vs Swagger UIHipChat vs Mattermost vs SlackBitbucket vs GitHub vs GitLabBootstrap vs Materialize