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DBMS > Databend vs. Google Cloud Firestore vs. Kinetica vs. Kingbase vs. Rockset

System Properties Comparison Databend vs. Google Cloud Firestore vs. Kinetica vs. Kingbase vs. Rockset

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonRockset  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.Fully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
firebase.google.com/­products/­firestorewww.kinetica.comwww.kingbase.com.cnrockset.com
Technical documentationdocs.databend.comfirebase.google.com/­docs/­firestoredocs.kinetica.comdocs.rockset.com
DeveloperDatabend LabsGoogleKineticaBeiJing KINGBASE Information technologies inc.Rockset
Initial release20212017201219992019
Current release1.0.59, April 20237.1, August 2021V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC, C++C and JavaC++
Server operating systemshosted
Linux
macOS
hostedLinuxLinux
Windows
hosted
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesdynamic typing
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.nononoyesno infoingestion from XML files supported
Secondary indexesnoyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsStandard with numerous extensionsRead-only SQL queries, including JOINs
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsuser defined functionsuser defined functionsno
Triggersnoyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
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.Access rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
DatabendGoogle Cloud FirestoreKineticaKingbaseRockset
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