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DBMS > GeoSpock vs. Netezza vs. OpenMLDB vs. Stardog

System Properties Comparison GeoSpock vs. Netezza vs. OpenMLDB vs. Stardog

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenMLDB  Xexclude from comparisonStardog  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleData warehouse and analytics appliance part of IBM PureSystemsAn open-source machine learning database that provides a feature platform for training and inferenceEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitegeospock.comwww.ibm.com/­products/­netezzaopenmldb.aiwww.stardog.com
Technical documentationopenmldb.ai/­docs/­zh/­maindocs.stardog.com
DeveloperGeoSpockIBM4 Paradigm Inc.Stardog-Union
Initial release200020202010
Current release2.0, September 20192024-2 February 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++, Java, ScalaJava
Server operating systemshostedLinux infoincluded in applianceLinuxLinux
macOS
Windows
Data schemeyesyesFixed schemaschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possible
Secondary indexestemporal, categoricalyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
JDBC
SQLAlchemy
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C++
Go
Java
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
GeoSpockNetezza infoAlso called PureData System for Analytics by IBMOpenMLDBStardog
Recent citations in the news

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

nChain leads investment round in extreme-scale data firm GeoSpock
2 October 2020, CoinGeek

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

Ola acquires GeoSpoc to build next-gen location technology
5 October 2021, The Economic Times

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

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
12 August 2020, ibm.com

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