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DBMS > GeoSpock vs. JaguarDB vs. Netezza vs. ObjectBox vs. Splice Machine

System Properties Comparison GeoSpock vs. JaguarDB vs. Netezza vs. ObjectBox vs. Splice Machine

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonSplice Machine  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 scalePerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and MobileOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegeospock.comwww.jaguardb.comwww.ibm.com/­products/­netezzaobjectbox.iosplicemachine.com
Technical documentationwww.jaguardb.com/­support.htmldocs.objectbox.iosplicemachine.com/­how-it-works
DeveloperGeoSpockDataJaguar, Inc.IBMObjectBox LimitedSplice Machine
Initial release2015200020172014
Current release2.0, September 20193.3 July 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++ infothe server part. Clients available in other languagesC and C++Java
Server operating systemshostedLinuxLinux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
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.nonono
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesnoyes
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
OLE DB
Proprietary native APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesnoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per tablerights management via user accountsUsers with fine-grained authorization conceptyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
GeoSpockJaguarDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSplice Machine
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More resources
GeoSpockJaguarDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSplice Machine
Recent citations in the news

Cambridge-based data analytics startup GeoSpock lands €4.6 million
2 October 2020, EU-Startups

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

UK-based database GeoSpock bags $5.4m, to expand into
6 October 2020, Tech in Asia

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1 August 2023, The Register

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27 May 2020, AWS Blog

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26 August 2021, The Register

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19 January 2021, Datanami

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18 November 2015, CIO

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