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DBMS > atoti vs. FeatureBase vs. Kyligence Enterprise

System Properties Comparison atoti vs. FeatureBase vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFeatureBase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A 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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websiteatoti.iowww.featurebase.comkyligence.io/­kyligence-enterprise
Technical documentationdocs.atoti.iodocs.featurebase.com
DeveloperActiveViamMolecula and Pilosa Open Source ContributorsKyligence, Inc.
Initial release20172016
Current release2022, May 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinux
macOS
Linux
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 indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL queriesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
Server-side scripts infoStored proceduresPython
Triggersno
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 methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno

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More resources
atotiFeatureBaseKyligence Enterprise
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