Companies that use CQEngine
It is a NoSQL indexing and Query Engine, for retrieving objects matching SQL-like queries from Java collections, with ultra-low latency
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Technology Usage Statistics and Market Share
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
CQEngine is a high-performance in-memory indexing and query engine software library written in Java. It enables developers to create custom indexes on collections of objects and execute advanced queries efficiently. CQEngine offers fast querying capabilities on in-memory datasets, making it ideal for applications that require rapid data retrieval and processing without the need for an external database.
In the realm of In-Memory Databases, CQEngine stands out as a powerful tool for developers looking to optimize data access and query performance within their applications. By allowing for the creation of custom indexes tailored to specific data structures, CQEngine empowers users to efficiently store, retrieve, and manipulate data in memory, minimizing latency and improving overall system responsiveness.
Founded in 2013 by Giles Peterson, CQEngine was born out of the need for a lightweight, versatile indexing and querying solution for in-memory data processing tasks. Peterson's motivation stemmed from his own experiences working on projects that required efficient data retrieval from in-memory collections, leading him to develop CQEngine as a robust and flexible library to address this challenge.
Currently, CQEngine holds a respectable market share within the domain of In-Memory Databases, with a growing number of developers and organizations adopting it for their data management needs. Given the increasing demand for fast and scalable in-memory database solutions, it is anticipated that CQEngine's market share will continue to expand in the future as more businesses recognize the value of leveraging in-memory data processing technologies for enhanced performance and efficiency.