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DBMS > Apache Druid vs. Elasticsearch vs. Quasardb

System Properties Comparison Apache Druid vs. Elasticsearch vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonQuasardb  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 metricDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Search engineTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#100  Overall
#51  Relational DBMS
#6  Time Series DBMS
Score154.71
Rank#8  Overall
#1  Search engines
Score0.21
Rank#282  Overall
#22  Time Series DBMS
Websitedruid.apache.orgwww.elastic.co/­elasticsearchquasardb.net
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldoc.quasardb.net
DeveloperApache Software Foundation and contributorsElasticquasardb
Initial release201220102009
Current release0.21.0, April 20217.8.0, June 20203.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Elastic Licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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 indexedyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorwith Hadoop integration
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidElasticsearchQuasardb
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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Apache DruidElasticsearchQuasardb
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