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DBMS > Hive vs. NSDb vs. OrigoDB vs. SQream DB

System Properties Comparison Hive vs. NSDb vs. OrigoDB vs. SQream DB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSQream DB  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 KubernetesA fully ACID in-memory object graph databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational 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
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.73
Rank#228  Overall
#105  Relational DBMS
Websitehive.apache.orgnsdb.ioorigodb.comsqream.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homensdb.io/­Architectureorigodb.com/­docsdocs.sqream.com
DeveloperApache Software Foundation infoinitially developed by FacebookRobert Friberg et alSQream Technologies
Initial release201220172009 infounder the name LiveDB2017
Current release3.1.3, April 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC#C++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyes, ANSI Standard SQL Types
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 .NET
Secondary indexesyesall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
.Net
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
Java
Scala
.NetC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesuser defined functions in Python
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone
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 integritynonodepending on modelno
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 Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesRole based authorization

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More resources
HiveNSDbOrigoDBSQream DB
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