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DBMS > Druid vs. GridGain vs. Ignite

System Properties Comparison Druid vs. GridGain vs. Ignite

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonGridGain  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataGridGain is an in-memory computing platform, built on Apache IgniteApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score1.72
Rank#123  Overall
#22  Key-value stores
#60  Relational DBMS
Score4.65
Rank#68  Overall
#12  Key-value stores
#36  Relational DBMS
Websitedruid.apache.orgwww.gridgain.comignite.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­latestapacheignite.readme.io/­docs
DeveloperMetamarkets Group and contributorsGridGain Systems, Inc.Apache Software Foundation
Initial release201220072015
Current releaseGridGain 8.5.1Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0
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 languageJavaJava, C++, .NetC++, Java, .Net
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJSON over HTTPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)yes (cache interceptors and events)
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)yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes (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 datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 implementationsSecurity Hooks for custom implementations

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

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
12 November 2019, GlobeNewswire

GridGain Systems Releases GridGain for z/OS, Expanding Its Market-Leading In-Memory Computing Solution to the Mainframe
7 November 2019, GlobeNewswire

GridGain for z/OS Expands In-Memory Computing Solution to the Mainframe
11 November 2019, Database Trends and Applications

GridGain In-Memory Computing Platform Now Available in Microsoft Azure Marketplace
4 November 2019, Yahoo Finance

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