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DBMS > GeoSpock vs. Pinecone vs. Teradata Aster

System Properties Comparison GeoSpock vs. Pinecone vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonPinecone  Xexclude from comparisonTeradata Aster  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 scaleA managed, cloud-native vector databasePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSVector DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#94  Overall
#2  Vector DBMS
Websitegeospock.comwww.pinecone.io
Technical documentationdocs.pinecone.io/­docs/­overview
DeveloperGeoSpockPinecone Systems, IncTeradata
Initial release20192005
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedhostedLinux
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 dateyesString, Number, Booleanyes
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.nonoyes infoin Aster File Store
Secondary indexestemporal, categoricalyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesPythonC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoR packages
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding
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 methodsnonoyes 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.nonono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
GeoSpockPineconeTeradata Aster
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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