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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  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 Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSWide column 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
Websitedruid.apache.orgwww.elastic.co/­elasticsearchgeospock.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software Foundation and contributorsElasticGeoSpockHypertable Inc.
Initial release201220102009
Current release29.0.1, April 20248.6, January 20232.0, September 20190.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicensecommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, JavascriptC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesyes infoAll search fields are automatically indexedtemporal, categoricalrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL for queryingSQL-like query languageANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
JDBCC++ API
Thrift
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
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesselectable replication factor on file system level
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, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noMemcached and Redis integrationno
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 tableno

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More resources
Apache DruidElasticsearchGeoSpockHypertable
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