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DBMS > Apache Kylin vs. Databricks vs. mSQL vs. Riak KV vs. Sadas Engine

System Properties Comparison Apache Kylin vs. Databricks vs. mSQL vs. Riak KV vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabricks  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  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.mSQL (Mini SQL) is a simple and lightweight RDBMSDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitekylin.apache.orgwww.databricks.comhughestech.com.au/­products/­msqlwww.sadasengine.com
Technical documentationkylin.apache.org/­docsdocs.databricks.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation, originally contributed from eBay IncDatabricksHughes TechnologiesOpenSource, formerly Basho TechnologiesSADAS s.r.l.
Initial release20152013199420092006
Current release3.1.0, July 20204.4, October 20213.2.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCErlangC++
Server operating systemsLinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
AIX
Linux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnonono
Secondary indexesyesyesyesrestrictedyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)with Databricks SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languagesPython
R
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoErlangno
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache KylinDatabricksmSQL infoMini SQLRiak KVSadas Engine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache KylinDatabricksmSQL infoMini SQLRiak KVSadas Engine
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