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DBMS > Apache Druid vs. Elasticsearch vs. FoundationDB vs. Postgres-XL vs. RocksDB

System Properties Comparison Apache Druid vs. Elasticsearch vs. FoundationDB vs. Postgres-XL vs. RocksDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRocksDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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 metricOrdered key-value store. Core features are complimented by layers.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Search engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitedruid.apache.orgwww.elastic.co/­elasticsearchgithub.com/­apple/­foundationdbwww.postgres-xl.orgrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapple.github.io/­foundationdbwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsElasticFoundationDBFacebook, Inc.
Initial release2012201020132014 infosince 2012, originally named StormDB2013
Current release30.0.0, June 20248.6, January 20236.2.28, November 202010 R1, October 20189.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++CC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
OS X
Windows
Linux
macOS
Linux
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesno
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyes infoAll search fields are automatically indexednoyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languagesupported in specific SQL layer onlyyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyesin SQL-layer onlyuser defined functionsno
Triggersnoyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
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, allLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoMVCCyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 systemnofine grained access rights according to SQL-standardno

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More resources
Apache DruidElasticsearchFoundationDBPostgres-XLRocksDB
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