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DBMS > EsgynDB vs. Postgres-XL vs. Realm vs. Sphinx vs. Stardog

System Properties Comparison EsgynDB vs. Postgres-XL vs. Realm vs. Sphinx vs. Stardog

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engineGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.esgyn.cnwww.postgres-xl.orgrealm.iosphinxsearch.comwww.stardog.com
Technical documentationwww.postgres-xl.org/­documentationrealm.io/­docssphinxsearch.com/­docsdocs.stardog.com
DeveloperEsgynRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.Stardog-Union
Initial release20152014 infosince 2012, originally named StormDB201420012010
Current release10 R1, October 20183.5.1, February 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaCC++Java
Server operating systemsLinuxLinux
macOS
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 functionalitynono infoImport/export of XML data possible
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesyes infodistributed, parallel query executionnoSQL-like query language (SphinxQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsno inforuns within the applications so server-side scripts are unnecessarynouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesyes infoChange Listenersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnonenoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesnoAccess rights for users and roles

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More resources
EsgynDBPostgres-XLRealmSphinxStardog
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