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DBMS > Ingres vs. Pinecone

System Properties Comparison Ingres vs. Pinecone

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Our visitors often compare Ingres and Pinecone with PostgreSQL, MySQL and Elasticsearch.

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionWell established RDBMSA managed, cloud-native vector database
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score3.29
Rank#94  Overall
#2  Vector DBMS
Websitewww.actian.com/­databases/­ingreswww.pinecone.io
Technical documentationdocs.actian.com/­ingresdocs.pinecone.io/­docs/­overview
DeveloperActian CorporationPinecone Systems, Inc
Initial release1974 infooriginally developed at University Berkely in early 1970s2019
Current release11.2, May 2022
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 systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyes
SQL infoSupport of SQLyesno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
Supported programming languagesPython
Server-side scripts infoStored proceduresyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicator
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 infoMVCCyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
IngresPinecone
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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