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DBMS > Google Cloud Firestore vs. Pinecone vs. SurrealDB vs. Yaacomo

System Properties Comparison Google Cloud Firestore vs. Pinecone vs. SurrealDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonPinecone  Xexclude from comparisonSurrealDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.A managed, cloud-native vector databaseA fully ACID transactional, developer-friendly, multi-model DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeVector DBMSDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitefirebase.google.com/­products/­firestorewww.pinecone.iosurrealdb.comyaacomo.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.pinecone.io/­docs/­overviewsurrealdb.com/­docs
DeveloperGooglePinecone Systems, IncSurrealDB LtdQ2WEB GmbH
Initial release2017201920222009
Current releasev1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemshostedhostedLinux
macOS
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
PythonDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functions
Triggersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
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.yes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestorePineconeSurrealDBYaacomo
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