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DBMS > Databricks vs. IBM Cloudant vs. Kingbase vs. LeanXcale

System Properties Comparison Databricks vs. IBM Cloudant vs. Kingbase vs. LeanXcale

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKingbase  Xexclude from comparisonLeanXcale  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.Database as a Service offering based on Apache CouchDBAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSKey-value store
Relational DBMS
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
Score2.75
Rank#104  Overall
#19  Document stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitewww.databricks.comwww.ibm.com/­products/­cloudantwww.kingbase.com.cnwww.leanxcale.com
Technical documentationdocs.databricks.comcloud.ibm.com/­docs/­Cloudant
DeveloperDatabricksIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014BeiJing KINGBASE Information technologies inc.LeanXcale
Initial release2013201019992015
Current releaseV8.0, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC and Java
Server operating systemshostedhostedLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or datenoyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoStandard with numerous extensionsyes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesPython
R
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions (Map-Reduce) in JavaScriptuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksIBM CloudantKingbaseLeanXcale
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksIBM CloudantKingbaseLeanXcale
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