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DBMS > Apache Kylin vs. Hawkular Metrics vs. InfluxDB vs. OpenEdge vs. OrigoDB

System Properties Comparison Apache Kylin vs. Hawkular Metrics vs. InfluxDB vs. OpenEdge vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for storing time series, events and metricsApplication development environment with integrated database management systemA fully ACID in-memory object graph database
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitekylin.apache.orgwww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewwww.progress.com/­openedgeorigodb.com
Technical documentationkylin.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncCommunity supported by Red HatProgress Software CorporationRobert Friberg et al
Initial release20152014201319842009 infounder the name LiveDB
Current release3.1.0, July 20202.7.6, April 2024OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and StringsyesUser defined using .NET types and collections
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.nononoyesno infocan be achieved using .NET
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like query languageyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP API
JSON over UDP
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Progress proprietary ABL (Advanced Business Language).Net
Server-side scripts infoStored proceduresnonoyesyes
Triggersyes infovia Hawkular Alertingnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoin enterprise version onlyhorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage enginenoyes
User concepts infoAccess controlnosimple rights management via user accountsUsers and groupsRole based authorization
More information provided by the system vendor
Apache KylinHawkular MetricsInfluxDBOpenEdgeOrigoDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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