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DBMS > Fujitsu Enterprise Postgres vs. Pinecone

System Properties Comparison Fujitsu Enterprise Postgres vs. Pinecone

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Our visitors often compare Fujitsu Enterprise Postgres and Pinecone with PostgreSQL, Oracle and GraphDB.

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A managed, cloud-native vector database
Primary database modelRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#291  Overall
#132  Relational DBMS
Score3.23
Rank#80  Overall
#4  Vector DBMS
Websitewww.postgres.global.fujitsu.comwww.pinecone.io
Technical documentationwww.postgres.global.fujitsu.com/­product-manualsdocs.pinecone.io/­docs/­overview
DeveloperFujitsu LimitedPinecone Systems, Inc
Initial release2019
Current releaseFujitsu Enterprise Postgres 16, May 2024
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
Windows
hosted
Data schemeyes
Typing infopredefined data types such as float or dateyesString, Number, Boolean
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.no
Secondary indexesyes
SQL infoSupport of SQLyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
Server-side scripts infoStored proceduresuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Fujitsu Enterprise PostgresPinecone
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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