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Hazelcast vs SAP HANA

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Hazelcast
352
473
+ 1
59
SAP HANA
163
143
+ 1
27
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Hazelcast vs SAP HANA: What are the differences?

Hazelcast: Clustering and highly scalable data distribution platform for Java. 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; SAP HANA: *An in-memory, column-oriented, relational database management system *. It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

Hazelcast and SAP HANA can be categorized as "In-Memory Databases" tools.

Hazelcast is an open source tool with 3.25K GitHub stars and 1.18K GitHub forks. Here's a link to Hazelcast's open source repository on GitHub.

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Pros of Hazelcast
Pros of SAP HANA
  • 11
    High Availibility
  • 6
    Distributed Locking
  • 6
    Distributed compute
  • 5
    Sharding
  • 4
    Load balancing
  • 3
    Map-reduce functionality
  • 3
    Simple-to-use
  • 3
    Written in java. runs on jvm
  • 3
    Publish-subscribe
  • 3
    Sql query support in cluster wide
  • 2
    Optimis locking for map
  • 2
    Performance
  • 2
    Multiple client language support
  • 2
    Rest interface
  • 1
    Admin Interface (Management Center)
  • 1
    Better Documentation
  • 1
    Easy to use
  • 1
    Super Fast
  • 5
    In-memory
  • 5
    SQL
  • 4
    Distributed
  • 4
    Performance
  • 2
    Realtime
  • 2
    Concurrent
  • 2
    OLAP
  • 2
    OLTP
  • 1
    JSON

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Cons of Hazelcast
Cons of SAP HANA
  • 4
    License needed for SSL
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    - No public GitHub repository available -

    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 SAP HANA?

    It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Hazelcast and SAP HANA as a desired skillset
    Fullstack Engineer
    LaunchDarkly
    Oakland, California, United States
    View Job Details
    EscapeGoogleage+15
    What companies use Hazelcast?
    What companies use SAP HANA?
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    What tools integrate with Hazelcast?
    What tools integrate with SAP HANA?

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    What are some alternatives to Hazelcast and SAP HANA?
    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.
    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
    See all alternatives

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