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DBMS > Apache Kylin vs. Databricks vs. PostGIS vs. WakandaDB

System Properties Comparison Apache Kylin vs. Databricks vs. PostGIS vs. WakandaDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackThe 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.Spatial extension of PostgreSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument store
Relational DBMS
Spatial DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitekylin.apache.orgwww.databricks.compostgis.netwakanda.github.io
Technical documentationkylin.apache.org/­docsdocs.databricks.compostgis.net/­documentationwakanda.github.io/­doc
DeveloperApache Software Foundation, originally contributed from eBay IncDatabricksWakanda SAS
Initial release2015201320052012
Current release3.1.0, July 20203.4.2, February 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL v2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, JavaScript
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
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.noyesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)with Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.nononono
User concepts infoAccess controlyes infobased on PostgreSQLyes
More information provided by the system vendor
Apache KylinDatabricksPostGISWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache KylinDatabricksPostGISWakandaDB
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