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DBMS > Google Cloud Firestore vs. LeanXcale vs. SurrealDB

System Properties Comparison Google Cloud Firestore vs. LeanXcale vs. SurrealDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLeanXcale  Xexclude from comparisonSurrealDB  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 capabilitiesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument storeKey-value store
Relational DBMS
Document store
Graph 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
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitefirebase.google.com/­products/­firestorewww.leanxcale.comsurrealdb.com
Technical documentationfirebase.google.com/­docs/­firestoresurrealdb.com/­docs
DeveloperGoogleLeanXcaleSurrealDB Ltd
Initial release201720152022
Current releasev1.1.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRust
Server operating systemshostedLinux
macOS
Windows
Data schemeschema-freeyesschema-free
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.no
Secondary indexesyes
SQL infoSupport of SQLnoyes infothrough Apache DerbySQL-like query language
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
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functions
Triggersyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
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 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.yes
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 rules

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More resources
Google Cloud FirestoreLeanXcaleSurrealDB
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