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

DBMS > ITTIA vs. Microsoft Azure SQL Database vs. MySQL vs. Spark SQL

System Properties Comparison ITTIA vs. Microsoft Azure SQL Database vs. MySQL vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMySQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingDatabase as a Service offering with high compatibility to Microsoft SQL ServerWidely used open source RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.ittia.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.mysql.comspark.apache.org/­sql
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldev.mysql.com/­docspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperITTIA L.L.C.MicrosoftOracle infosince 2010, originally MySQL AB, then SunApache Software Foundation
Initial release2007201019952014
Current release8.7V128.4.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++C++C and C++Scala
Server operating systemsLinux
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeFixed schemayesyesyes
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Supported programming languagesC
C++
JavaScript (Node.js)
Python
.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
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesTransact SQLyes infoproprietary syntaxno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engineyes
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 controlDatabase file passwordsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno

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
3rd partiesNavicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
» more

Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
ITTIAMicrosoft Azure SQL Database infoformerly SQL AzureMySQLSpark SQL
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

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Recent citations in the news

Embedded secured data base for STM32 MCUs
16 October 2023, Electronics Weekly

ITTIA Embedded Time Series Database to Support STM32 Edge Devices
8 April 2022, Embedded Computing Design

ITTIA Launches Edge Data Processing & Management Database for Microcontrollers, MCUs
9 April 2022, Embedded Computing Design

Free Healthcare Data for Use with Maptitude 2019 Mapping Software
20 September 2019, GISuser.com

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

Chapter 8: Using the Ledger Features of Azure SQL - Developing Blockchain Solutions in the Cloud [Book]
7 May 2024, O'Reilly Media

Why migrate Windows Server and SQL Server to Azure: ROI, innovation, and free offers
25 April 2024, Microsoft

Azure SQL Database takes Saturday off on US east coast following network power failure
18 September 2023, The Register

provided by Google News

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ...
18 March 2024, AWS Blog

Enterprise Manager: How Comcast enhanced monitoring for MySQL InnoDB Clusters
22 April 2024, blogs.oracle.com

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

Google advances with vector search in MySQL, leapfrogging Oracle in LLM support
4 March 2024, The Register

General Availability: Azure Database for MySQL Import feature for Azure Database for MySQL Single to Flexible Server ...
17 January 2024, Microsoft

provided by Google News

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

Performant IPv4 Range Spark Joins | by Jean-Claude Cote
24 January 2024, Towards Data Science

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

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

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Milvus logo

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here