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DBMS > Apache Jena - TDB vs. Elasticsearch vs. EsgynDB vs. Microsoft Azure Synapse Analytics vs. Sphinx

System Properties Comparison Apache Jena - TDB vs. Elasticsearch vs. EsgynDB vs. Microsoft Azure Synapse Analytics vs. Sphinx

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA 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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRDF storeSearch engineRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.97
Rank#88  Overall
#3  RDF stores
Score134.79
Rank#7  Overall
#1  Search engines
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.elastic.co/­elasticsearchwww.esgyn.cnazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsElasticEsgynMicrosoftSphinx Technologies Inc.
Initial release20002010201520162001
Current release4.9.0, July 20238.6, January 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoElastic LicensecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, JavaC++C++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF Schemasschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageyesyesSQL-like query language (SphinxQL)
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesJava.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesJava Stored ProceduresTransact SQLno
Triggersyes infovia event handleryes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication between multi datacentersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesnono
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, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 controlAccess control via Jena Securityfine grained access rights according to SQL-standardyesno

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More resources
Apache Jena - TDBElasticsearchEsgynDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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