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DBMS > Google Cloud Firestore vs. Weaviate

System Properties Comparison Google Cloud Firestore vs. Weaviate

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Our visitors often compare Google Cloud Firestore and Weaviate with Elasticsearch, Memcached and Redis.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonWeaviate  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.A cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.09
Rank#46  Overall
#8  Document stores
Score0.53
Rank#274  Overall
#18  Search engines
Websitefirebase.google.com/­products/­firestoregithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationfirebase.google.com/­docs/­firestoreweaviate.io/­developers/­weaviate/­current
DeveloperGoogleWeaviate B.V.
Initial release20172019
Current release1.17, December 2022
License infoCommercial or Open SourcecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshosted
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nono
Secondary indexesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoGraphQL is used as query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsno
Triggersyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyes
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 controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.OpenID Connect Discovery

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More resources
Google Cloud FirestoreWeaviate
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