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DBMS > Druid vs. GridGain vs. ToroDB

System Properties Comparison Druid vs. GridGain vs. ToroDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonGridGain  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataGridGain is an in-memory computing platform, built on Apache IgniteA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Score0.06
Rank#305  Overall
#41  Document stores
Websitedruid.apache.orgwww.gridgain.comwww.torodb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­latestwww.torodb.com/­stampede/­docs
DeveloperMetamarkets Group and contributorsGridGain Systems, Inc.8Kdata
Initial release201220072016
Current releaseGridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterANSI-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
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)
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)Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.noyes
User concepts infoAccess controlno infoavailable via extensionsSecurity Hooks for custom implementationsAccess rights for users and roles

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More resources
DruidGridGainToroDB
Recent citations in the news

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

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

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

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

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

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

provided by Google News

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