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MemSQL

80
161
+ 1
32
VoltDB

16
58
+ 1
18
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MemSQL vs VoltDB: What are the differences?

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; VoltDB: In-memory relational DBMS capable of supporting millions of database operations per second. 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.

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

Some of the features offered by MemSQL are:

  • ANSI SQL Support
  • Fully-distributed Joins
  • Compiled Queries

On the other hand, VoltDB provides the following key features:

  • In-Memory Performance with On-Disk Durability
  • Transparent Scalability with Data Consistency
  • NewSQL – All the benefits of SQL with Unlimited Scalability
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Pros of MemSQL
Pros of VoltDB
  • 8
    Distributed
  • 4
    Realtime
  • 3
    JSON
  • 3
    Sql
  • 3
    Columnstore
  • 3
    Concurrent
  • 2
    Ultra fast
  • 2
    Scalable
  • 1
    Pipeline
  • 1
    Availability Group
  • 1
    S3
  • 1
    Mixed workload
  • 1
    Unlimited Storage Database
  • 5
    SQL + Java
  • 4
    In-memory database
  • 4
    A brainchild of Michael Stonebraker
  • 3
    Very Fast
  • 2
    NewSQL

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

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What are some alternatives to MemSQL and VoltDB?
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.
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