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DBMS > Elasticsearch vs. FoundationDB vs. Postgres-XL

System Properties Comparison Elasticsearch vs. FoundationDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonPostgres-XL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionA 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 features
Primary database modelSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score154.71
Rank#8  Overall
#1  Search engines
Score1.27
Rank#151  Overall
#26  Document stores
#28  Key-value stores
#74  Relational DBMS
Score0.55
Rank#232  Overall
#111  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.foundationdb.orgwww.postgres-xl.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapple.github.io/­foundationdbwww.postgres-xl.org/­documentation
DeveloperElasticFoundationDB
Initial release201020132014 infosince 2012, originally named StormDB
Current release7.8.0, June 20206.2.28, November 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache 2.0Open Source infoMozilla public license
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 languageJavaC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlyyes infodistributed, parallel query execution
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.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
Server-side scripts infoStored proceduresyesin SQL-layer onlyuser defined functions
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 integritynoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchFoundationDBPostgres-XL
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesElastic Cloud: Try the official managed Elasticsearch.
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More resources
ElasticsearchFoundationDBPostgres-XL
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