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DBMS > Brytlyt vs. Microsoft Azure SQL Database vs. Vitess vs. XTDB

System Properties Comparison Brytlyt vs. Microsoft Azure SQL Database vs. Vitess vs. XTDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonVitess  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, distributed, cloud-native DBMS, extending MySQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
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
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitebrytlyt.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databasevitess.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.brytlyt.iodocs.microsoft.com/­en-us/­azure/­azure-sqlvitess.io/­docswww.xtdb.com/­docs
DeveloperBrytlytMicrosoftThe Linux Foundation, PlanetScaleJuxt Ltd.
Initial release2016201020132019
Current release5.0, August 2023V1215.0.2, December 20221.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++GoClojure
Server operating systemsLinux
OS X
Windows
hostedDocker
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLTransact SQLyes infoproprietary syntaxno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availableMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
BrytlytMicrosoft Azure SQL Database infoformerly SQL AzureVitessXTDB infoformerly named Crux
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5 June 2024, PR Web

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