DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Jena - TDB vs. Axibase vs. Google Cloud Datastore vs. Netezza

System Properties Comparison Apache Jena - TDB vs. Axibase vs. Google Cloud Datastore vs. Netezza

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonAxibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRDF storeTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#86  Overall
#3  RDF stores
Score0.32
Rank#288  Overall
#25  Time Series DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlaxibase.com/­docs/­atsd/­financecloud.google.com/­datastorewww.ibm.com/­products/­netezza
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­datastore/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsAxibase CorporationGoogleIBM
Initial release2000201320082000
Current release4.9.0, July 202315585
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VMLinuxhostedLinux infoincluded in appliance
Data schemeyes infoRDF Schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyes, details hereyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (GQL)yes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
Supported programming languagesJavaGo
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyesusing Google App Engineyes
Triggersyes infovia event handleryesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache Jena - TDBAxibaseGoogle Cloud DatastoreNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

Sparql Secrets In Jena-Fuseki - DataScienceCentral.com
24 July 2022, Data Science Central

A catalogue with semantic annotations makes multilabel datasets FAIR | Scientific Reports
4 May 2022, Nature.com

Comparing Grakn to Semantic Web Technologies — Part 1/3 | by Tomas Sabat
26 June 2020, Towards Data Science

MarkLogic Hones Its Triple Store
18 August 2015, Datanami

How relevant is data analytics to businesses today?
21 August 2016, The Sociable

provided by Google News

Google Cloud is NOT magicking away data egress fees
12 January 2024, The Stack

SAP adds vector datastore to HANA Cloud database
2 November 2023, Techzine Europe

NetApp Cloud Volumes Service datastore support for Google Cloud VMware Engine
7 February 2023, netapp.com

Your Memories. Their Cloud.
1 January 2023, The New York Times

All of Google’s cloud database services are now out of beta
16 August 2016, TechCrunch

provided by Google News

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

Tackling AI's data challenges with IBM databases on AWS
14 March 2024, ibm.com

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here