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DBMS > Databricks vs. Kingbase vs. Newts vs. PostGIS

System Properties Comparison Databricks vs. Kingbase vs. Newts vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKingbase  Xexclude from comparisonNewts  Xexclude from comparisonPostGIS  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.Time Series DBMS based on CassandraSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comwww.kingbase.com.cnopennms.github.io/­newtspostgis.net
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikipostgis.net/­documentation
DeveloperDatabricksBeiJing KINGBASE Information technologies inc.OpenNMS Group
Initial release2013199920142005
Current releaseV8.0, August 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaJavaC
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
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.yesyesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST
Java API
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnouser defined functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on Cassandrayes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on Cassandrayes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksKingbaseNewtsPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksKingbaseNewtsPostGIS
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