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DBMS > Apache Kylin vs. EventStoreDB vs. MonetDB

System Properties Comparison Apache Kylin vs. EventStoreDB vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackIndustrial-strength, open-source database solution built from the ground up for event sourcing.A relational database management system that stores data in columns
Primary database modelRelational DBMSEvent StoreRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitekylin.apache.orgwww.eventstore.comwww.monetdb.org
Technical documentationkylin.apache.org/­docsdevelopers.eventstore.comwww.monetdb.org/­Documentation
DeveloperApache Software Foundation, originally contributed from eBay IncEvent Store LimitedMonetDB BV
Initial release201520122004
Current release3.1.0, July 202021.2, February 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
OS X
Solaris
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.no
Secondary indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, R
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
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 dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Apache KylinEventStoreDBMonetDB
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