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

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

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIngres  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSA distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitehive.apache.orgwww.actian.com/­databases/­ingreskyligence.io/­kyligence-enterpriseorigodb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresorigodb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookActian CorporationKyligence, Inc.Robert Friberg et al
Initial release20121974 infooriginally developed at University Berkely in early 1970s20162009 infounder the name LiveDB
Current release3.1.3, April 202211.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC#
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser 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.no infobut tools for importing/exporting data from/to XML-files availablenono infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardRole based authorization

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More resources
HiveIngresKyligence EnterpriseOrigoDB
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