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DBMS > Apache Druid vs. Elasticsearch vs. OrigoDB vs. Splunk

System Properties Comparison Apache Druid vs. Elasticsearch vs. OrigoDB vs. Splunk

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA fully ACID in-memory object graph databaseAnalytics Platform for Big Data
Primary database modelRelational DBMS
Time Series DBMS
Search engineDocument store
Object oriented DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector 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
Score135.35
Rank#7  Overall
#1  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitedruid.apache.orgwww.elastic.co/­elasticsearchorigodb.comwww.splunk.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlorigodb.com/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software Foundation and contributorsElasticRobert Friberg et alSplunk Inc.
Initial release201220102009 infounder the name LiveDB2003
Current release29.0.1, April 20248.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicenseOpen Sourcecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languagenono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.NetC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnoyes infoby using the 'percolation' featureyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole based authorizationAccess rights for users and roles

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More resources
Apache DruidElasticsearchOrigoDBSplunk
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