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DBMS > Databend vs. Google Cloud Firestore vs. Kingbase vs. OrientDB

System Properties Comparison Databend vs. Google Cloud Firestore vs. Kingbase vs. OrientDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKingbase  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityCloud 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.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
firebase.google.com/­products/­firestorewww.kingbase.com.cnorientdb.org
Technical documentationdocs.databend.comfirebase.google.com/­docs/­firestorewww.orientdb.com/­docs/­last/­index.html
DeveloperDatabend LabsGoogleBeiJing KINGBASE Information technologies inc.OrientDB LTD; CallidusCloud; SAP
Initial release2021201719992010
Current release1.0.59, April 2023V8.0, August 20213.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC and JavaJava
Server operating systemshosted
Linux
macOS
hostedLinux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesnoStandard with numerous extensionsSQL-like query language, no joins
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsuser defined functionsJava, Javascript
Triggersnoyes, with Cloud FunctionsyesHooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess 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-standardAccess rights for users and roles; record level security configurable

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More resources
DatabendGoogle Cloud FirestoreKingbaseOrientDB
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