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DBMS > Apache Phoenix vs. Elasticsearch vs. RDFox vs. Stardog

System Properties Comparison Apache Phoenix vs. Elasticsearch vs. RDFox vs. Stardog

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonElasticsearch  Xexclude from comparisonRDFox  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 metricHigh performance knowledge graph and semantic reasoning engineEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Graph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitephoenix.apache.orgwww.elastic.co/­elasticsearchwww.oxfordsemantic.techwww.stardog.com
Technical documentationphoenix.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oxfordsemantic.techdocs.stardog.com
DeveloperApache Software FoundationElasticOxford Semantic TechnologiesStardog-Union
Initial release2014201020172010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.6, January 20236.0, Septermber 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic Licensecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
macOS
Windows
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoRDF schemasschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesSQL-like query languagenoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infoby using the 'percolation' featureyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesreplication via a shared file systemMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesMemcached and Redis integrationyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRoles, resources, and access typesAccess rights for users and roles

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More resources
Apache PhoenixElasticsearchRDFoxStardog
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