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DBMS > Google Cloud Firestore vs. NSDb vs. OrigoDB vs. Pinecone

System Properties Comparison Google Cloud Firestore vs. NSDb vs. OrigoDB vs. Pinecone

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseA managed, cloud-native vector database
Primary database modelDocument storeTime Series DBMSDocument store
Object oriented DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitefirebase.google.com/­products/­firestorensdb.ioorigodb.comwww.pinecone.io
Technical documentationfirebase.google.com/­docs/­firestorensdb.io/­Architectureorigodb.com/­docsdocs.pinecone.io/­docs/­overview
DeveloperGoogleRobert Friberg et alPinecone Systems, Inc
Initial release201720172009 infounder the name LiveDB2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaC#
Server operating systemshostedLinux
macOS
Linux
Windows
hosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsString, 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.nonono infocan be achieved using .NETno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Scala
.NetPython
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes
Triggersyes, with Cloud Functionsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
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 Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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.Role based authorization

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More resources
Google Cloud FirestoreNSDbOrigoDBPinecone
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31 January 2019, ZDNet

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3 October 2017, TechCrunch

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