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DBMS > Apache Jena - TDB vs. Atos Standard Common Repository vs. GigaSpaces vs. RavenDB vs. Vertica

System Properties Comparison Apache Jena - TDB vs. Atos Standard Common Repository vs. GigaSpaces vs. RavenDB vs. Vertica

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRavenDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseCloud 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
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMS infoColumn oriented
Secondary database modelsGraph DBMS
Search engine
Graph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#86  Overall
#3  RDF stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comravendb.netwww.vertica.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlravendb.net/­docsvertica.com/­documentation
DeveloperApache Software Foundation infooriginally developed by HP LabsAtos Convergence CreatorsGigaspaces TechnologiesHibernating RhinosOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20002016200020102005
Current release4.9.0, July 2023170315.5, September 20205.4, July 202212.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3, commercial license 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 languageJavaJavaJava, C++, .NetC#C++
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyes infoRDF SchemasSchema and schema-less with LDAP viewsschema-freeschema-freeYes, 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 dateyesoptionalyesnoyes
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.yesno infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsSQL-like query language (RQL)Full 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
LDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaAll languages with LDAP bindings.Net
C++
Java
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyesyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia event handleryesyes, event driven architectureyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-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 executorsyesno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsAtomic execution of specific operationsACIDACID, Cluster-wide transaction availableACID
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 SecurityLDAP bind authenticationRole-based access controlAuthorization levels configured per client per databasefine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache Jena - TDBAtos Standard Common RepositoryGigaSpacesRavenDBVertica 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...
» more

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More resources
Apache Jena - TDBAtos Standard Common RepositoryGigaSpacesRavenDBVertica infoOpenText™ Vertica™
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