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

DBMS > Datomic vs. Druid vs. GridGain

System Properties Comparison Datomic vs. Druid vs. GridGain

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDruid  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOpen-source analytics data store designed for OLAP queries on timeseries dataGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#111  Overall
#54  Relational DBMS
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Websitewww.datomic.comdruid.apache.orgwww.gridgain.com
Technical documentationdocs.datomic.comdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­latest
DeveloperCognitectMetamarkets Group and contributorsGridGain Systems, Inc.
Initial release201220122007
Current release0.9.5951, July 2019GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache license v2commercial
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.
Implementation languageJava, ClojureJavaJava, C++, .Net
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Data schemeyesyes infoschema-less columns are supportedyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapterANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APIJSON over HTTPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesClojure
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes (compute grid and cache interceptors can be used instead)
TriggersBy using transaction functionsnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes, via HDFS, S3 or other storage enginesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnono infoavailable via extensionsSecurity Hooks for custom implementations

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
DatomicDruidGridGain
Recent citations in the news

Report: IoT and blockchain integration is booming among US businesses
12 December 2019, TechRepublic

These are the top 25 people with the most influence on the 'tech industry'
16 May 2019, Digital Information World

Stack Overflow developer survey 2019: 25 most influential people in tech
11 May 2019, Business Insider

Homoiconicity: It Is What It Is
31 October 2017, InfoQ.com

Architecting a Modern Financial Institution with Vitor Olivier, Thoughts on Immutability, CI/CD, FP
12 January 2018, InfoQ.com

provided by Google News

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

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

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

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

provided by Google News

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

GridGain and Azul Systems Collaborate to Enable Java for Very Low-Latency Use Cases at Massive Scale
14 November 2019, GlobeNewswire

In-Memory Computing Summit North America 2019 Demonstrates How Companies Are Using In-Memory Computing to Successfully Address Digital Transformation
25 November 2019, GlobeNewswire

GridGain: Product Overview and Analysis
5 June 2019, eWeek

GridGain In-Memory Computing Platform Continues Strong Momentum in First Half of 2019, Highlighted by a Doubling of Subscription Bookings
18 July 2019, GlobeNewswire

provided by Google News

Job opportunities

SQL Developer
Cross River Bank, Fort Lee, NJ

Blue Planet Software Engineer
Ciena, Austin, TX

Software Engineer
Nomi Health, Orem, UT

Product Manager
Parkside, San Francisco, CA

Senior Big Data Engineer
Experian, Costa Mesa, CA

Sr. Big Data Software Engineer
PayPal, San Jose, CA

Solution Architect - Data Services Middleware
Voya Financial, Windsor, CT

Site Reliability Engineering (SRE) Deployment Engineer
RingCentral, Inc., Denver, CO

Data Engineer
SPR, Chicago, IL

Inside Sales Representative
GridGain, Foster City, CA

Senior Java Developer
Intercontinental Exchange, New York, NY

jobs by Indeed




Share this page

Featured Products

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

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.

Present your product here