DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Blueflood vs. Microsoft Azure SQL Database vs. mSQL vs. ToroDB

System Properties Comparison Blueflood vs. Microsoft Azure SQL Database vs. mSQL vs. ToroDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable TimeSeries DBMS based on CassandraDatabase as a Service offering with high compatibility to Microsoft SQL ServermSQL (Mini SQL) is a simple and lightweight RDBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteblueflood.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databasehughestech.com.au/­products/­msqlgithub.com/­torodb/­server
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperRackspaceMicrosoftHughes Technologies8Kdata
Initial release2013201019942016
Current releaseV124.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree licenses can be providedOpen Source infoAGPL-V3
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 languageJavaC++CJava
Server operating systemsLinux
OS X
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java 7 VM
Data schemepredefined schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.noyesnono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoTransact SQLno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, with always 3 replicas availablenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights for users and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BluefloodMicrosoft Azure SQL Database infoformerly SQL AzuremSQL infoMini SQLToroDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

provided by Google News

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Azure SQL Database migration to OCI - resources estimation and migration approach
11 January 2024, blogs.oracle.com

Expand the limits of innovation with Azure data
21 March 2024, microsoft.com

Azure SQL Database outage caused by network infrastructure
18 September 2023, The Register

provided by Google News

Higher Education PS rules out ghost students before PAC
29 November 2018, diggers.news

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here