DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Druid vs. Ignite vs. MemSQL

System Properties Comparison Druid vs. Ignite vs. MemSQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonIgnite  Xexclude from comparisonMemSQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series DBMS
Score5.08
Rank#71  Overall
#11  Key-value stores
#39  Relational DBMS
Score5.50
Rank#64  Overall
#35  Relational DBMS
Websitedruid.apache.orgignite.apache.orgwww.memsql.com
Technical documentationdruid.apache.org/­docs/­latest/­designapacheignite.readme.io/­docsdocs.memsql.com
DeveloperMetamarkets Group and contributorsApache Software FoundationMemSQL Inc.
Initial release201220152013
Current releaseApache Ignite 2.67.1.4, July 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaC++, Java, .NetC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterANSI-99 for query and DML statements, subset of DDLyes, but no triggers and foreign keys
APIs and other access methodsJSON over HTTPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoavailable via extensionsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DruidIgniteMemSQL
DB-Engines blog posts

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

show all

Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

provided by Google News

GridGain Systems Named to Inc. 5000 List of America's Fastest-Growing Private Companies for Fourth Consecutive Year
13 August 2020, GlobeNewswire

GridGain's Strong Market Momentum Continues in 2020
23 July 2020, GlobeNewswire

In Memory Computing Market 2020 Overview by Market Size, Share, Growth Rate, Products and Recent Developments, Forecast till 2023
14 August 2020, The Daily Chronicle

GridGain and Tech Mahindra Partner on Leveraging In-Memory Computing to Solve Application Speed and Scalability Challenges
22 July 2020, GlobeNewswire

insideBIGDATA Latest News – 8/14/2020
14 August 2020, insideBIGDATA

provided by Google News

MemSQL Extends its Reach into the Latin American Market
22 July 2020, Database Trends and Applications

MemSQL Expands Collaboration with AWS To Promote Move To Cloud-Based Operational Analytics
7 August 2020, Integration Developers

MemSQL Establishes Commitment to Latin American Market With LATBC Strategic Partnership
22 July 2020, Business Wire

MemSQL Broadens Partnership with AWS
16 July 2020, dbta.com

MemSQL's growth mirrors need for real-time data analysis and rapid decision-making
4 August 2020, SiliconANGLE

provided by Google News

Job opportunities

Solutions Architect
Imply, Burlingame, CA

Community Engineer
Imply, Burlingame, CA

Associate, Engineer
Deutsche Bank, Cary, NC

Software Engineer
Intelliforce IT Solutions Group, Ellicott City, MD

Senior Consultant - Remote (U.S. and Canada)
GridGain, Foster City, CA

Fullstack JAVA Developer
Athena Enterprise Systems, Charlotte, NC

Senior Backend Software Developer
Enfusion, Chicago, IL

Database Engineer
Presat, New York, NY

Data Engineer
Shutterfly, Fort Mill, SC

Senior Database/MemSQL Architect (Full Time)
Amsys Innovative Solutions, Houston, TX

Support Engineer
Cilable, Austin, TX

Executive Assistant
MemSQL, Sunnyvale, CA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here