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DBMS > Druid vs. EXASOL vs. GridGain

System Properties Comparison Druid vs. EXASOL vs. GridGain

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonEXASOL  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
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
Score2.83
Rank#87  Overall
#44  Relational DBMS
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Websitedruid.apache.orgwww.exasol.com/­en/­productswww.gridgain.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.exasol.com/­en/­community/­resourceswww.gridgain.com/­docs/­latest
DeveloperMetamarkets Group and contributorsExasolGridGain Systems, Inc.
Initial release201220002007
Current releaseGridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial
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++, .Net
Server operating systemsLinux
OS X
Unix
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapteryesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJSON over HTTP.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyes (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)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
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 extensionsAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementations

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More resources
DruidEXASOLGridGain
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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Your Data Strategy Holds the Secret to Customer Loyalty in Financial Services, Exasol Survey Finds
20 November 2019, Business Wire

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2 December 2019, ComputerWeekly.com

Global In-memory OLAP Database Market Strategics Assessment 2019 : Altibase, Microsoft, Oracle, Exasol, Kognitio, Mcobject
15 November 2019, The Chicago Sentinel

Global In-memory OLAP Database Market Inventory Management 2019 – Altibase, IBM, Microsoft, Oracle, SAP SE
9 December 2019, Financial Sector

Global In-memory OLAP Database Market Regional Forecast 2019-2024: Altibase, IBM, Microsoft, Oracle
3 December 2019, Industry PressRelease

provided by Google News

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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