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DBMS > Hive vs. Microsoft SQL Server vs. NSDb vs. SiteWhere vs. YottaDB

System Properties Comparison Hive vs. Microsoft SQL Server vs. NSDb vs. SiteWhere vs. YottaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNSDb  Xexclude from comparisonSiteWhere  Xexclude from comparisonYottaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosofts flagship relational DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesM2M integration platform for persisting/querying time series dataA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitehive.apache.orgwww.microsoft.com/­en-us/­sql-servernsdb.iogithub.com/­sitewhere/­sitewhereyottadb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-US/­sql/­sql-servernsdb.io/­Architecturesitewhere1.sitewhere.io/­index.htmlyottadb.com/­resources/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftSiteWhereYottaDB, LLC
Initial release20121989201720102001
Current release3.1.3, April 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, ScalaJavaC
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Linux
OS X
Windows
Docker
Linux
Data schemeyesyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesno
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.yesnonono
Secondary indexesyesyesall fields are automatically indexednono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languagenoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
HTTP REST
WebSocket
HTTP RESTPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Java
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server Editionselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUsers and groups based on OS-security mechanisms

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More resources
HiveMicrosoft SQL ServerNSDbSiteWhereYottaDB
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