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DBMS > atoti vs. Firebolt vs. Kyligence Enterprise

System Properties Comparison atoti vs. Firebolt vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebolt  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseA 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
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websiteatoti.iowww.firebolt.iokyligence.io/­kyligence-enterprise
Technical documentationdocs.atoti.iodocs.firebolt.io
DeveloperActiveViamFirebolt Analytics Inc.Kyligence, Inc.
Initial release20202016
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
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesANSI SQL for queries (using Apache Calcite)
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno

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More resources
atotiFireboltKyligence Enterprise
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