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DBMS > GeoSpock vs. Teradata Aster vs. Transwarp StellarDB

System Properties Comparison GeoSpock vs. Teradata Aster vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scalePlatform for big data analytics on multistructured data sources and typesA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitegeospock.comwww.transwarp.cn/­en/­product/­stellardb
DeveloperGeoSpockTeradataTranswarp
Initial release2005
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes
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.noyes infoin Aster File Store
Secondary indexestemporal, categoricalyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like query language
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
OpenCypher
Supported programming languagesC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoR packages
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardyes

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More resources
GeoSpockTeradata AsterTranswarp StellarDB
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