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DBMS > Hyprcubd vs. Microsoft SQL Server vs. OceanBase vs. Transbase

System Properties Comparison Hyprcubd vs. Microsoft SQL Server vs. OceanBase vs. Transbase

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOceanBase  Xexclude from comparisonTransbase  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSMicrosofts flagship relational DBMSA distributed, high available RDBMS compatible with Oracle and MySQLA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitehyprcubd.com (offline)www.microsoft.com/­en-us/­sql-serveren.oceanbase.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serveren.oceanbase.com/­docs/­oceanbase-databasewww.transaction.de/­en/­products/­transbase/­features.html
DeveloperHyprcubd, Inc.MicrosoftOceanBase infopreviously Alibaba and Ant GroupTransaction Software GmbH
Initial release198920101987
Current releaseSQL Server 2022, November 20224.3.0, April 2024Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoCommercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageGoC++C++C and C++
Server operating systemshostedLinux
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyes
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.noyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes
APIs and other access methodsgRPC (https)ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HyprcubdMicrosoft SQL ServerOceanBaseTransbase
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