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DBMS > Apache Druid vs. EXASOL vs. GridGain vs. SQLite

System Properties Comparison Apache Druid vs. EXASOL vs. GridGain vs. SQLite

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgniteWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitedruid.apache.orgwww.exasol.comwww.gridgain.comwww.sqlite.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.exasol.com/­resourceswww.gridgain.com/­docs/­index.htmlwww.sqlite.org/­docs.html
DeveloperApache Software Foundation and contributorsExasolGridGain Systems, Inc.Dwayne Richard Hipp
Initial release2012200020072000
Current release29.0.1, April 2024GridGain 8.5.13.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
server-less
Data schemeyes infoschema-less columns are supportedyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesANSI-99 for query and DML statements, subset of DDLyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsno

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More resources
Apache DruidEXASOLGridGainSQLite
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