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DBMS > GBase vs. GeoSpock vs. Netezza vs. Newts vs. Transwarp ArgoDB

System Properties Comparison GBase vs. GeoSpock vs. Netezza vs. Newts vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.gbase.cngeospock.comwww.ibm.com/­products/­netezzaopennms.github.io/­newtswww.transwarp.cn/­en/­product/­argodb
Technical documentationgithub.com/­OpenNMS/­newts/­wikidocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperGeneral Data Technology Co., Ltd.GeoSpockIBMOpenNMS GroupTranswarp
Initial release200420002014
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava, JavascriptJava
Server operating systemsLinuxhostedLinux infoincluded in applianceLinux
OS X
Windows
Data schemeyesyesyesschema-freeyes
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.yesnono
Secondary indexesyestemporal, categoricalyesnoyes
SQL infoSupport of SQLStandard with numerous extensionsANSI SQL for query only (using Presto)yesnoyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBCJDBC
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesC#C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.nono
User concepts infoAccess controlyesAccess rights for users can be defined per tableUsers with fine-grained authorization conceptno

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More resources
GBaseGeoSpockNetezza infoAlso called PureData System for Analytics by IBMNewtsTranswarp ArgoDB
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How GeoSpock is supercharging geospatial analytics
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