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DBMS > Databricks vs. Kingbase vs. PouchDB

System Properties Comparison Databricks vs. Kingbase vs. PouchDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKingbase  Xexclude from comparisonPouchDB  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.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.databricks.comwww.kingbase.com.cnpouchdb.com
Technical documentationdocs.databricks.compouchdb.com/­guides
DeveloperDatabricksBeiJing KINGBASE Information technologies inc.Apache Software Foundation
Initial release201319992012
Current releaseV8.0, August 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaJavaScript
Server operating systemshostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesno
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.yesyesno
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsView functions in JavaScript
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksKingbasePouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksKingbasePouchDB
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