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MemSQL

80
161
+ 1
32
SAP HANA

132
107
+ 1
27
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MemSQL vs SAP HANA: What are the differences?

What is MemSQL? Database for real-time transactions and analytics. MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

What is 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.

MemSQL and SAP HANA can be primarily classified as "In-Memory Databases" tools.

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Pros of MemSQL
Pros of SAP HANA
  • 8
    Distributed
  • 4
    Realtime
  • 3
    Columnstore
  • 3
    Sql
  • 3
    Concurrent
  • 3
    JSON
  • 2
    Ultra fast
  • 2
    Scalable
  • 1
    Availability Group
  • 1
    Pipeline
  • 1
    Mixed workload
  • 1
    Unlimited Storage Database
  • 5
    In-memory
  • 5
    SQL
  • 4
    Distributed
  • 4
    Performance
  • 2
    Realtime
  • 2
    Concurrent
  • 2
    OLAP
  • 2
    OLTP
  • 1
    JSON

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What is MemSQL?

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

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.

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What companies use MemSQL?
What companies use SAP HANA?
See which teams inside your own company are using MemSQL or SAP HANA.
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What tools integrate with MemSQL?
What tools integrate with SAP HANA?

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What are some alternatives to MemSQL and SAP HANA?
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.
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.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
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.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
See all alternatives