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DBMS > Brytlyt vs. Hazelcast vs. Microsoft SQL Server vs. Transbase

System Properties Comparison Brytlyt vs. Hazelcast vs. Microsoft SQL Server vs. Transbase

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA widely adopted in-memory data gridMicrosofts flagship relational DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitebrytlyt.iohazelcast.comwww.microsoft.com/­en-us/­sql-serverwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.brytlyt.iohazelcast.org/­imdg/­docslearn.microsoft.com/­en-US/­sql/­sql-serverwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBrytlytHazelcastMicrosoftTransaction Software GmbH
Initial release2016200819891987
Current release5.0, August 20235.3.6, November 2023SQL Server 2022, November 2022Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC, C++ and CUDAJavaC++C and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.yes infothe object must implement a serialization strategyyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoEvent Listeners, Executor ServicesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyesyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BrytlytHazelcastMicrosoft SQL ServerTransbase
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