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In-memory databases (IMDB) are a relatively new type of database technology that have become increasingly popular in recent years. Unlike traditional disk-based databases, IMDBs store data entirely in memory, rather than on disk, resulting in much faster access times.
- Overview
- H2 Database
- Hsqldb
- Apache Derby Database
- Sqlite Database
- In-Memory Databases in Spring Boot
- Conclusion
In-memory databases rely on system memory as opposed to disk space for storage of data. Because memory access is faster than disk access, these databases are naturally faster. Of course, we can only use an in-memory database in applications and scenarios where data doesn’t need to be persisted or for the purpose of executing tests faster. They’re o...
H2is an open source database written in Java that supports standard SQL for both embedded and standalone databases. It is very fast and contained within a JAR of only around 1.5 MB.
HSQLDB is an open source project, also written in Java, representing a relational database. It follows the SQL and JDBC standards and supports SQL features such as stored procedures and triggers. It can be used in the in-memory mode, or it can be configured to use disk storage.
Apache Derby is another open source project containing a relational database management system created by the Apache Software Foundation. Derby is based on SQL and JDBC standards and is mainly used as an embedded database, but it can also be run in client-server mode by using the Derby Network Serverframework.
SQLiteis a SQL database that runs only in embedded mode, either in memory or saved as a file. It is written in the C language but can also be used with Java.
Spring Boot makes it especially easy to use an in-memory database – because it can create the configuration automatically for H2, HSQLDB, and Derby. All we need to do to use a database of one of the three types in Spring Boot is add its dependency to the pom.xml. When the framework encounters the dependency on the classpath, it will configure the d...
In this article, we had a quick look at the most commonly used in-memory databases in the Java ecosystem, along with their basic configurations. Although they are useful for testing, keep in mind that in many cases they do not provide exactly the same functionality as the original standalone ones. You can find the code examples used in this article...
Dare-DB is a project that provides an in-memory database utilizing Redis-inspired hashtables implemented in Go here. It offers a lightweight and efficient solution for storing data in memory and accessing it through simple HTTP operations. Project Purpose.
Feb 7, 2024 · SQLite is made to be extremely lightweight and portable, but it still uses SQL. However, some SQL features such as RIGHT OUTER JOIN and FOR EACH STATEMENT are missing. See More
RediSQL is a fast and simple SQL engine that works mainly in memory and can create multiple lightweight databases. It supports JSON, full text search, streaming and caching, and has bindings for many languages.
rqlite is your solution for a rock-solid, fault-tolerant, relational database with effortless installation, deployment, and operation. It's ideal as a lightweight, distributed relational data store for both developers and operators. Think Consul or etcd, but with relational modeling available.
People also ask
What is a good in-memory database system?
Why are in-memory databases faster than disk space?
What is a flash-optimized in-memory NoSQL database?
How do I Choose an in-memory database?
List of in-memory databases. Notable in-memory database system software includes: Flash-optimized in-memory open source NoSQL database. Altibase is a hybrid DBMS that combines an in-memory database with a conventional disk-resident database in a single unified engine.
