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DBMS > Google Cloud Firestore vs. Google Cloud Spanner vs. jBASE

System Properties Comparison Google Cloud Firestore vs. Google Cloud Spanner vs. jBASE

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonjBASE  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 horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument storeRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.25
Rank#52  Overall
#10  Document stores
Score3.73
Rank#90  Overall
#47  Relational DBMS
Score1.71
Rank#136  Overall
#3  Multivalue DBMS
Websitefirebase.google.com/­products/­firestorecloud.google.com/­spannerwww.jbase.com
Technical documentationfirebase.google.com/­docs/­firestorecloud.google.com/­spanner/­docsdocs.zumasys.com/­jbase
DeveloperGoogleGoogleZumasys
Initial release201720171991
Current release5.7
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedAIX
Linux
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesoptional
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011Embedded SQL for jBASE in BASIC
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes
Triggersyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACID
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.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.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item level

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More resources
Google Cloud FirestoreGoogle Cloud SpannerjBASE
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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