StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. CQEngine vs NCache

CQEngine vs NCache

OverviewComparisonAlternatives

Overview

CQEngine
CQEngine
Stacks3
Followers22
Votes0
GitHub Stars1.8K
Forks255
NCache
NCache
Stacks146
Followers38
Votes0

NCache vs CQEngine: What are the differences?

Developers describe NCache as "Distributed In-Memory Datastore". It is an extremely fast and scalable distributed cache for .NET. It helps high traffic server applications remove data storage bottlenecks by caching application and linearly scale to handle extreme transaction loads without slowing down. 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.

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

CQEngine is an open source tool with 1.06K GitHub stars and 171 GitHub forks. Here's a link to CQEngine's open source repository on GitHub.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

CQEngine
CQEngine
NCache
NCache

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

NCache is an open source distributed cache for .NET & .NET Core (Apache 2.0) by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips.

Ultra-fast; Query engine; No SQL
Recovery from Split-Brain; ASP.NET Core Response Caching; .NET Core; Virtualization and Containerization; Performance & Scalability; Cache Elasticity (High Availability); Cache Topologies; WAN Replication; Cache Administration; Security & Encryption; Object Caching Features; Managing Data Relationships; Synchronization with Data Sources; Runtime Data Sharing; Search Cache (SQL-Like); Data Grouping; Read-through & Write-through; Cache Size Management; ASP.NET Support; Third Party Integrations;
Statistics
GitHub Stars
1.8K
GitHub Stars
-
GitHub Forks
255
GitHub Forks
-
Stacks
3
Stacks
146
Followers
22
Followers
38
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Fastify
Fastify
MySQL
MySQL
Windows
Windows
Linux
Linux
.NET
.NET
ASP.NET
ASP.NET

What are some alternatives to CQEngine, NCache?

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.

Apache Ignite

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

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase