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DBMS > Apache Jena - TDB vs. GigaSpaces vs. IBM Db2 vs. Informix vs. Vertica

System Properties Comparison Apache Jena - TDB vs. GigaSpaces vs. IBM Db2 vs. Informix vs. Vertica

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInformix  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCommon in IBM host environments, 2 different versions for host and Windows/LinuxA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRDF storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS infoColumn oriented
Secondary database modelsGraph DBMS
Search engine
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.gigaspaces.comwww.ibm.com/­products/­db2www.ibm.com/­products/­informixwww.vertica.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlwww.ibm.com/­docs/­en/­db2informix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
vertica.com/­documentation
DeveloperApache Software Foundation infooriginally developed by HP LabsGigaspaces TechnologiesIBMIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release200020001983 infohost version19842005
Current release4.9.0, July 202315.5, September 202012.1, October 201614.10.FC5, November 202012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial infofree version is availablecommercial infofree developer edition availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC and C++C, C++ and JavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyes infoRDF Schemasschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJava.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyesyesyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia event handleryes, event driven architectureyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux VersionShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infowith separate tools (MQ, InfoSphere)Multi-source replication
Source-replica replication
Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess control via Jena SecurityRole-based access controlfine grained access rights according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache Jena - TDBGigaSpacesIBM Db2 infoformerly named DB2 or IBM Database 2InformixVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Apache Jena - TDBGigaSpacesIBM Db2 infoformerly named DB2 or IBM Database 2InformixVertica infoOpenText™ Vertica™
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