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DBMS > atoti vs. IBM Db2 warehouse vs. Kyligence Enterprise

System Properties Comparison atoti vs. IBM Db2 warehouse vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Cloud-based data warehousing serviceA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websiteatoti.iowww.ibm.com/­products/­db2/­warehousekyligence.io/­kyligence-enterprise
Technical documentationdocs.atoti.io
DeveloperActiveViamIBMKyligence, Inc.
Initial release20142016
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
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.no infoImport/export of XML data possibleno
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesANSI SQL for queries (using Apache Calcite)
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresPythonPL/SQL, SQL PL
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
atotiIBM Db2 warehouse infoformerly named IBM dashDBKyligence Enterprise
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