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DBMS > Hive vs. Microsoft SQL Server vs. NuoDB vs. TDSQL for MySQL vs. WakandaDB

System Properties Comparison Hive vs. Microsoft SQL Server vs. NuoDB vs. TDSQL for MySQL vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNuoDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosofts flagship relational DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
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
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitehive.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.3ds.com/­nuodb-distributed-sql-databasewww.tencentcloud.com/­products/­dcdbwakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-US/­sql/­sql-serverdoc.nuodb.comwww.tencentcloud.com/­document/­product/­1042wakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftDassault Systèmes infooriginally NuoDB, Inc.TencentWakanda SAS
Initial release20121989201320132012
Current release3.1.3, April 2022SQL Server 2022, November 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availablecommercial infolimited edition freecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++C++C++, JavaScript
Server operating systemsAll OS with a Java VMLinux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyesno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava, SQLyesyes
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationdata is dynamically stored/cached on the nodes where it is read/writtenAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server Editionyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
none
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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tablenono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization conceptyes

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More resources
HiveMicrosoft SQL ServerNuoDBTDSQL for MySQLWakandaDB
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