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DBMS > Google Cloud Firestore vs. LeanXcale vs. Microsoft Azure AI Search

System Properties Comparison Google Cloud Firestore vs. LeanXcale vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure AI Search  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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesSearch-as-a-service for web and mobile app development
Primary database modelDocument storeKey-value store
Relational DBMS
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitefirebase.google.com/­products/­firestorewww.leanxcale.comazure.microsoft.com/­en-us/­services/­search
Technical documentationfirebase.google.com/­docs/­firestorelearn.microsoft.com/­en-us/­azure/­search
DeveloperGoogleLeanXcaleMicrosoft
Initial release201720152015
Current releaseV1
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes
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
SQL infoSupport of SQLnoyes infothrough Apache Derbyno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsno
Triggersyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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.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.yes infousing Azure authentication

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More resources
Google Cloud FirestoreLeanXcaleMicrosoft Azure AI Search
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