Infinispan Database
Infinispan is an open-source in-memory data grid platform, which can optionally persist data to disk for long-term storage. It is highly concurrent, scalable and distributed
- Since:2007
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#What is Infinispan?
Infinispan is an open-source, distributed, in-memory key-value data store. It is written in Java and designed to provide highly concurrent access to data. Infinispan is highly configurable and can be used as a caching layer or as a primary data store.
#Infinispan Key Features
Some of the most recognizable features of Infinispan include:
- In-memory data storage: Infinispan stores data in memory, making it very fast to access.
- Distributed data storage: Infinispan can be configured to store data across multiple nodes, providing high availability and fault tolerance.
- Querying and indexing: Infinispan supports indexing and querying of data stored in the cache.
- Data expiration: Infinispan allows for data to be automatically expired from the cache based on a set time-to-live or idle-timeout.
- Event notification: Infinispan provides a mechanism for notifying clients when data is added, updated, or removed from the cache.
- Transactions: Infinispan supports distributed transactions to ensure data consistency across multiple nodes.
#Infinispan Use-Cases
Infinispan has a variety of use cases, including:
- Caching: Infinispan can be used as a caching layer to improve application performance by reducing the need to access slower backend data stores.
- Data grid: Infinispan can be used as a distributed data grid, allowing data to be stored across multiple nodes and providing high availability and fault tolerance.
- Session replication: Infinispan can be used to replicate HTTP session data across multiple nodes in a cluster, providing fault tolerance and high availability for web applications.
Infinispan is an open-source, distributed, in-memory key-value data store that provides highly concurrent access to data and can be used as a caching layer, distributed data grid, or for session replication.