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DBMS > Databricks vs. Google Cloud Firestore vs. Ingres vs. Kingbase

System Properties Comparison Databricks vs. Google Cloud Firestore vs. Ingres vs. Kingbase

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIngres  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud 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.Well established RDBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Websitewww.databricks.comfirebase.google.com/­products/­firestorewww.actian.com/­databases/­ingreswww.kingbase.com.cn
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­firestoredocs.actian.com/­ingres
DeveloperDatabricksGoogleActian CorporationBeiJing KINGBASE Information technologies inc.
Initial release201320171974 infooriginally developed at University Berkely in early 1970s1999
Current release12.0, July 2024V8.0, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and Java
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesStandard with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesPython
R
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, Firebase Rules & Cloud Functionsyesuser defined functions
Triggersyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.nono
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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGoogle Cloud FirestoreIngresKingbase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGoogle Cloud FirestoreIngresKingbase
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