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DBMS > Google Cloud Firestore vs. Kingbase vs. openGemini vs. ScyllaDB

System Properties Comparison Google Cloud Firestore vs. Kingbase vs. openGemini vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKingbase  Xexclude from comparisonopenGemini  Xexclude from comparisonScyllaDB  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.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.An open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityCassandra and DynamoDB compatible wide column store
Primary database modelDocument storeRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitefirebase.google.com/­products/­firestorewww.kingbase.com.cnwww.opengemini.org
github.com/­openGemini
www.scylladb.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.opengemini.org/­guidedocs.scylladb.com
DeveloperGoogleBeiJing KINGBASE Information technologies inc.Huawei and openGemini communityScyllaDB
Initial release2017199920222015
Current releaseV8.0, August 20211.1, July 2023ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC and JavaGoC++
Server operating systemshostedLinux
Windows
Linux
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyes
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.noyesnono
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoStandard with numerous extensionsSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsnoyes, Lua
Triggersyes, with Cloud Functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono infoAtomicity and isolation are supported for single operations
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.yesyes infoin-memory tables
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.fine grained access rights according to SQL-standardAdministrators and common users accountsAccess rights for users can be defined per object
More information provided by the system vendor
Google Cloud FirestoreKingbaseopenGeminiScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Google Cloud FirestoreKingbaseopenGeminiScyllaDB
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