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DBMS > Apache Kylin vs. atoti vs. Sadas Engine

System Properties Comparison Apache Kylin vs. atoti vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonatoti  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 stackAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSObject oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitekylin.apache.orgatoti.iowww.sadasengine.com
Technical documentationkylin.apache.org/­docsdocs.atoti.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation, originally contributed from eBay IncActiveViamSADAS s.r.l.
Initial release20152006
Current release3.1.0, July 20208.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxAIX
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)Multidimensional Expressions (MDX)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache KylinatotiSadas Engine
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