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DBMS > Apache Kylin vs. atoti vs. BoltDB

System Properties Comparison Apache Kylin vs. atoti vs. BoltDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonatoti  Xexclude from comparisonBoltDB  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.An embedded key-value store for Go.
Primary database modelRelational DBMSObject oriented DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#154  Overall
#74  Relational DBMS
Score0.44
Rank#253  Overall
#15  Object oriented DBMS
Score0.68
Rank#219  Overall
#33  Key-value stores
Websitekylin.apache.orgwww.atoti.iogithub.com/­boltdb/­bolt
Technical documentationkylin.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncActiveViam
Initial release20152013
Current release3.1.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)Multidimensional Expressions (MDX)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
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 Consistencynone
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
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.noyesno
User concepts infoAccess controlno

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More resources
Apache KylinatotiBoltDB
Recent citations in the news

Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

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10 August 2021, Blocks and Files

Apache Kylin Adds Real-time OLAP
3 January 2020, iProgrammer

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16 December 2021, GlobeNewswire

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