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DBMS > Pinecone vs. PostGIS vs. Teradata vs. Valentina Server

System Properties Comparison Pinecone vs. PostGIS vs. Teradata vs. Valentina Server

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonPostGIS  Xexclude from comparisonTeradata  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseSpatial extension of PostgreSQLA hybrid cloud data analytics software platform (Teradata Vantage)Object-relational database and reports server
Primary database modelVector DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.pinecone.iopostgis.netwww.teradata.comwww.valentina-db.net
Technical documentationdocs.pinecone.io/­docs/­overviewpostgis.net/­documentationdocs.teradata.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperPinecone Systems, IncTeradataParadigma Software
Initial release2019200519841999
Current release3.4.2, February 2024Teradata Vantage 1.0 MU2, January 20195.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhosted
Linux
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyesyes
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.noyesyes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoyesyes infoSQL 2016 + extensionsyes
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ODBC
Supported programming languagesPythonC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyesyes
User concepts infoAccess controlyes infobased on PostgreSQLfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
PineconePostGISTeradataValentina Server
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PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
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