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DBMS > Hive vs. NSDb vs. OpenEdge vs. OrigoDB

System Properties Comparison Hive vs. NSDb vs. OpenEdge vs. OrigoDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNSDb  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesApplication development environment with integrated database management systemA fully ACID in-memory object graph database
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitehive.apache.orgnsdb.iowww.progress.com/­openedgeorigodb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homensdb.io/­Architecturedocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookProgress Software CorporationRobert Friberg et al
Initial release2012201719842009 infounder the name LiveDB
Current release3.1.3, April 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC#
Server operating systemsAll OS with a Java VMLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesUser 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.noyesno infocan be achieved using .NET
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
WebSocket
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
PHP
Python
Java
Scala
Progress proprietary ABL (Advanced Business Language).Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate 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 datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers and groupsRole based authorization

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More resources
HiveNSDbOpenEdgeOrigoDB
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