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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Apache Ignite vs CQEngine

Apache Ignite vs CQEngine

OverviewComparisonAlternatives

Overview

Apache Ignite
Apache Ignite
Stacks110
Followers168
Votes41
GitHub Stars5.0K
Forks1.9K
CQEngine
CQEngine
Stacks3
Followers22
Votes0
GitHub Stars1.8K
Forks255

Apache Ignite vs CQEngine: 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, CQEngine is detailed as "An in-memory DataBase". It is a NoSQL indexing and Query Engine, for retrieving objects matching SQL-like queries from Java collections, with ultra-low latency.

Apache Ignite and CQEngine belong to "In-Memory Databases" category of the tech stack.

Some of the features offered by Apache Ignite are:

  • Memory-Centric Storage
  • Distributed SQL
  • Distributed Key-Value

On the other hand, CQEngine provides the following key features:

  • Ultra-fast
  • Query engine
  • No SQL

Apache Ignite and CQEngine are both open source tools. It seems that Apache Ignite with 2.75K GitHub stars and 1.33K forks on GitHub has more adoption than CQEngine with 1.06K GitHub stars and 171 GitHub forks.

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Detailed Comparison

Apache Ignite
Apache Ignite
CQEngine
CQEngine

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

It is a NoSQL indexing and Query Engine, for retrieving objects matching SQL-like queries from Java collections, with ultra-low latency

Memory-Centric Storage; Distributed SQL; Distributed Key-Value
Ultra-fast; Query engine; No SQL
Statistics
GitHub Stars
5.0K
GitHub Stars
1.8K
GitHub Forks
1.9K
GitHub Forks
255
Stacks
110
Stacks
3
Followers
168
Followers
22
Votes
41
Votes
0
Pros & Cons
Pros
  • 5
    Multiple client language support
  • 5
    Written in java. runs on jvm
  • 5
    Free
  • 5
    High Avaliability
  • 4
    Load balancing
No community feedback yet
Integrations
MongoDB
MongoDB
MySQL
MySQL
Apache Spark
Apache Spark
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Fastify
Fastify
MySQL
MySQL

What are some alternatives to Apache Ignite, CQEngine?

Redis

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.

Hazelcast

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.

Aerospike

Aerospike

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.

MemSQL

MemSQL

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.

SAP HANA

SAP HANA

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.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Tarantool

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Azure Redis Cache

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

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.

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