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DBMS > Apache Druid vs. Elasticsearch vs. GeoSpock vs. Hypertable vs. Oracle Coherence

System Properties Comparison Apache Druid vs. Elasticsearch vs. GeoSpock vs. Hypertable vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparisonOracle Coherence  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 metricSpatial and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as HadoopOracles in-memory data grid solution
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSWide column storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series 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
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitedruid.apache.orgwww.elastic.co/­elasticsearchgeospock.comwww.oracle.com/­java/­coherence
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software Foundation and contributorsElasticGeoSpockHypertable Inc.Oracle
Initial release2012201020092007
Current release29.0.1, April 20248.6, January 20232.0, September 20190.9.8.11, March 201614.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicensecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, JavascriptC++Java
Server operating systemsLinux
OS X
Unix
All OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedtemporal, categoricalrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL for queryingSQL-like query languageANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
JDBCC++ API
Thrift
JCache
JPA
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyes infoby using the 'percolation' featurenonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesselectable replication factor on file system levelyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyesno
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, allImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tablenoauthentification to access the cache via certificates or http basic authentication

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More resources
Apache DruidElasticsearchGeoSpockHypertableOracle Coherence
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