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DBMS > Google Cloud Firestore vs. Greenplum vs. Pinecone

System Properties Comparison Google Cloud Firestore vs. Greenplum vs. Pinecone

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGreenplum  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A managed, cloud-native vector database
Primary database modelDocument storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitefirebase.google.com/­products/­firestoregreenplum.orgwww.pinecone.io
Technical documentationfirebase.google.com/­docs/­firestoredocs.greenplum.orgdocs.pinecone.io/­docs/­overview
DeveloperGooglePivotal Software Inc.Pinecone Systems, Inc
Initial release201720052019
Current release7.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedLinuxhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesString, 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.noyes infosince Version 4.2no
Secondary indexesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Perl
Python
R
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes
Triggersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
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, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreGreenplumPinecone
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