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DBMS > Apache Kylin vs. EventStoreDB vs. Hawkular Metrics

System Properties Comparison Apache Kylin vs. EventStoreDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHawkular Metrics  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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSEvent StoreTime Series 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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitekylin.apache.orgwww.eventstore.comwww.hawkular.org
Technical documentationkylin.apache.org/­docsdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software Foundation, originally contributed from eBay IncEvent Store LimitedCommunity supported by Red Hat
Initial release201520122014
Current release3.1.0, July 202021.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-free
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 indexesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesGo
Java
Python
Ruby
Server-side scripts infoStored proceduresno
Triggersyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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.nono
User concepts infoAccess controlno

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More resources
Apache KylinEventStoreDBHawkular Metrics
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