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DBMS > Hive vs. Kyligence Enterprise vs. OrigoDB vs. Prometheus

System Properties Comparison Hive vs. Kyligence Enterprise vs. OrigoDB vs. Prometheus

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseOpen-source TimeSeries DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.24
Rank#282  Overall
#132  Relational DBMS
Score0.00
Rank#354  Overall
#50  Document stores
#20  Object oriented DBMS
Score6.13
Rank#67  Overall
#3  Time Series DBMS
Websitehive.apache.orgkyligence.io/­kyligence-enterpriseorigodb.comprometheus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docsprometheus.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookKyligence, Inc.Robert Friberg et al
Initial release201220162009 infounder the name LiveDB2015
Current release3.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#Go
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsNumeric data only
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 infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and rolesRole based authorizationno

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More resources
HiveKyligence EnterpriseOrigoDBPrometheus
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