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Learn MorePros of Hazelcast
Pros of Redis
Pros of VoltDB
Pros of Hazelcast
- High Availibility11
- Distributed Locking6
- Distributed compute6
- Sharding5
- Load balancing4
- Map-reduce functionality3
- Simple-to-use3
- Written in java. runs on jvm3
- Publish-subscribe3
- Sql query support in cluster wide3
- Optimis locking for map2
- Performance2
- Multiple client language support2
- Rest interface2
- Admin Interface (Management Center)1
- Better Documentation1
- Easy to use1
- Super Fast1
Pros of Redis
- Performance887
- Super fast542
- Ease of use514
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable165
- Free156
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Pub/Sub23
- Great community22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- Lists10
- NoSQL10
- Async replication9
- BSD licensed9
- Integrates super easy with Sidekiq for Rails background8
- Bitmaps8
- Open Source7
- Keys with a limited time-to-live7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Runs server side LUA4
- Transactions4
- Networked4
- Outstanding performance4
- Feature Rich4
- Written in ANSI C4
- LRU eviction of keys4
- Data structure server3
- Performance & ease of use3
- Temporarily kept on disk2
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Scalable2
- Channels concept2
- Object [key/value] size each 500 MB2
- Existing Laravel Integration2
- Simple2
Pros of VoltDB
- SQL + Java5
- In-memory database4
- A brainchild of Michael Stonebraker4
- Very Fast3
- NewSQL2
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Cons of Hazelcast
Cons of Redis
Cons of VoltDB
Cons of Hazelcast
- License needed for SSL4
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1
Cons of VoltDB
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What is 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.
What is 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.
What is 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.
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What companies use Hazelcast?
What companies use Redis?
What companies use VoltDB?
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What tools integrate with Hazelcast?
What tools integrate with Redis?
What tools integrate with VoltDB?
What tools integrate with Hazelcast?
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What tools integrate with VoltDB?
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What are some alternatives to Hazelcast, Redis, and VoltDB?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
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
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.