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DBMS > Apache Jena - TDB vs. Apache Pinot vs. Hawkular Metrics vs. JanusGraph vs. Microsoft Azure SQL Database

System Properties Comparison Apache Jena - TDB vs. Apache Pinot vs. Hawkular Metrics vs. JanusGraph vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRDF storeRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#86  Overall
#3  RDF stores
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlpinot.apache.orgwww.hawkular.orgjanusgraph.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.pinot.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation infooriginally developed by HP LabsApache Software Foundation and contributorsCommunity supported by Red HatLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release20002015201420172010
Current release4.9.0, July 20231.0.0, September 20230.6.3, February 2023V12
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyes infoRDF Schemasyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenonoyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCHTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languagesJavaGo
Java
Python
Go
Java
Python
Ruby
Clojure
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesTransact SQL
Triggersyes infovia event handleryes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infobased on Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess control via Jena SecuritynoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
Apache Jena - TDBApache PinotHawkular MetricsJanusGraph infosuccessor of TitanMicrosoft Azure SQL Database infoformerly SQL Azure
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