BigMemory
BigMemory is an in-memory data management system that provides a fast, scalable cache and data store for applications. It allows storing terabytes of data in memory for low-latency data access.
caching
data-management
low-latency
BigMemory: Fast In-Memory Data Management System
BigMemory provides a fast, scalable cache and data store for applications, allowing terabytes of data to be stored in memory for low-latency data access.
What is BigMemory?
BigMemory is an in-memory data management system developed by Terracotta. It provides a fast, scalable in-memory cache and data store for applications to boost performance.
Key features of BigMemory include:
- Distributed in-memory data storage across multiple servers
- Scales up to terabytes of data in memory
- Low latency data access and high throughput
- Persistence options todisk to prevent data loss
- Continuous availability with no single point of failure
- Integration with Spring and Hibernate frameworks
BigMemory is commonly used to provide a high-performance shared cache for web applications to reduce load off databases. It can also serve as a fast in-memory data store and analytics platform. Use cases include session management, HTTP caching, streaming data analysis, geospatial applications etc.
Overall, BigMemory allows storing large volumes of application data in memory for order-of-magnitude faster performance compared to disk-based databases. Its distributed architecture provides linear scalability and continuous uptime for mission-critical applications.
BigMemory Features
Features
- Distributed in-memory data storage
- Automatic data eviction and loading
- Read/write caching for databases
- Support for terabytes of data
- Integration with Hadoop and Spark
- High availability through replication and failover
Pricing
- Subscription-Based
Pros
Very fast data access and throughput
Reduces load on databases
Scales horizontally
Lowers infrastructure costs by using RAM instead of disks
Supports both Java and .NET platforms
Cons
Can lose data if not persisted
RAM is more expensive than disk
Not fully ACID compliant
Can be complex to configure and tune
Official Links
The Best BigMemory Alternatives
Top Development and In-Memory Databases and other similar apps like BigMemory
Here are some alternatives to BigMemory:
Suggest an alternative ❐
Redis
Redis is an open source, in-memory data structure store that can be used as a database, cache, and message broker. It provides high availability, performance, replication and supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs and geospatial indexes and streams.Some key features...
MongoDB
MongoDB is an open-source, document database designed for ease of development and scaling. Some key advantages of MongoDB include:Document Model: MongoDB stores data in flexible, JSON-like documents rather than rows and columns used in traditional RDBMS. This allows for dynamic schemas and easy data manipulation.Scaling: MongoDB is highly scalable and...
CockroachDB
CockroachDB is an open-source, distributed SQL database that provides scalability, survivability, and data consistency across multiple datacenters. Some key features include:Distributed architecture that scales horizontallyAutomated replication and failover for high availabilitySupport for strongly consistent ACID transactionsGeographic distribution of data across multiple datacentersAutomatic rebalancing and repair after failuresSQL interface with support...
CouchDB
CouchDB is an open-source NoSQL document-oriented database that focuses on ease of use and scalability. It uses a document-based data model that maps neatly to objects in web applications and fits better with object-oriented programming techniques compared to a relational database structure.Some key features and aspects of CouchDB include:JSON documents...
H2 Database Engine
The H2 Database Engine is an open-source relational database management system written in Java. It can be embedded in Java applications or run in client-server mode, with either TCP or disk-based database files.Some key features of H2 include:Small footprint - The H2 jar file is around 2MB and it has...
Titan Database
Titan is an open-source, distributed graph database designed to handle large-scale graph data sets efficiently. It utilizes a NoSQL architecture and provides linear scalability, as well as real-time data access through a transactional database.Some key features of Titan Database include:Support for graph structures containing hundreds of billions of vertices and...
RethinkDB
RethinkDB is an open-source, distributed JSON document database designed for easy scalability and high availability. Some key features of RethinkDB include:JSON document storage with a flexible schemaIntuitive ReQL query languageChangefeeds for easy scale-out and replicationAutomatic sharding and failover handlingSimple administration with a clean CLI and web UIStrong consistency guaranteesPowerful indexing...
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service designed to enable you to elastically and independently scale throughput and storage across any number of Azure regions worldwide. It offers throughput, latency, availability, and consistency guarantees with comprehensive service level agreements (SLAs), something no other database service offers.Key capabilities...
Memcached
Memcached is an open source, high-performance distributed memory object caching system. It is designed to speed up dynamic web applications by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) needs to be read.Memcached is able to...
OrbitDB
OrbitDB is a decentralized peer-to-peer database built on top of IPFS, the InterPlanetary File System. It provides an easy-to-use API for storing and managing data in decentralized networks and applications.Some key features of OrbitDB include:Peer-to-peer - Data is replicated directly between peers rather than relying on central serversDistributed and decentralized...
