EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials Head to Head Differences Tutorial Azure SQL Database vs SQL Server
Secondary Sidebar
Head to Head Differences Tutorial
  • Differences Tutorial
    • Scikit Learn vs TensorFlow
    • Azure Functions vs Logic Apps
    • Azure Data Factory vs Databricks
    • SHA1 vs MD5
    • Azure SQL Database vs Managed Instance
    • Azure SQL Database vs SQL Server
    • PostgreSQL vs MySQL
    • PostgreSQL vs MySQL Benchmark
    • ArangoDB vs MongoDB
    • Cloud Computing vs Big Data Analytics
    • T-SQL vs SQL
    • PostgreSQL vs MariaDB
    • Spark vs Impala
    • Datadog vs Splunk
    • Domo vs Tableau
    • Data Scientist vs Data Engineer vs Statistician
    • Big Data Vs Machine Learning
    • Predictive Analytics vs Business Intelligence
    • AI vs Machine Learning vs Deep Learning
    • Data Science vs Artificial Intelligence
    • Business Intelligence vs Data Warehouse
    • Apache Kafka vs Flume
    • Data Science vs Machine Learning
    • Business Analytics Vs Predictive Analytics
    • Data mining vs Web mining
    • Data Science Vs Data Mining
    • Data Science Vs Business Analytics
    • Analyst vs Associate
    • Apache Hive vs Apache Spark SQL
    • Apache Nifi vs Apache Spark
    • Apache Spark vs Apache Flink
    • Apache Storm vs Kafka
    • Artificial Intelligence vs Business Intelligence
    • Artificial Intelligence vs Human Intelligence
    • Al vs ML vs Deep Learning
    • SQL vs SQLite
    • Assembly Language vs Machine Language
    • AWS vs AZURE
    • AWS vs Azure vs Google Cloud
    • Big Data vs Data Mining
    • Big Data vs Data Science
    • Big Data vs Data Warehouse
    • Blu-Ray vs DVD
    • Business Intelligence vs Big Data
    • Business Intelligence vs Business Analytics
    • Business Intelligence vs Data analytics
    • Business Intelligence VS Data Mining
    • Business Intelligence vs Machine Learning
    • Business Process Re-Engineering vs CI
    • Cassandra vs Elasticsearch
    • Cassandra vs Redis
    • Cloud Computing Public vs Private
    • Cloud Computing vs Fog Computing
    • Cloud Computing vs Grid Computing
    • Cloud Computing vs Hadoop
    • Computer Network vs Data Communication
    • Computer Science vs Data Science
    • Computer Scientist vs Data Scientist
    • Customer Analytics vs Web Analytics
    • Data Analyst vs Data Scientist
    • Data Analytics vs Business Analytics
    • Data Analytics vs Data Analysis
    • Data Analytics Vs Predictive Analytics
    • Data Lake vs Data Warehouse
    • Data Mining Vs Data Visualization
    • Data mining vs Machine learning
    • Data Mining Vs Statistics
    • Data Mining vs Text Mining
    • Data Science vs Artificial Intelligence
    • Data science vs Business intelligence
    • Data Science Vs Data Engineering
    • Data Science vs Data Visualization
    • Data Science vs Software Engineering
    • Data Scientist vs Big Data
    • Data Scientist vs Business Analyst
    • Data Scientist vs Data Engineer
    • Data Scientist vs Data Mining
    • Data Scientist vs Machine Learning
    • Data Scientist vs Software Engineer
    • Data visualisation vs Data analytics
    • Data vs Information
    • Data Warehouse vs Data Mart
    • Data Warehouse vs Database
    • Data Warehouse vs Hadoop
    • Data Warehousing VS Data Mining
    • DBMS vs RDBMS
    • Deep Learning vs Machine learning
    • Digital Analytics vs Digital Marketing
    • Digital Ocean vs AWS
    • DOS vs Windows
    • ETL vs ELT
    • Small Data Vs Big Data
    • Apache Hadoop vs Apache Storm
    • Hadoop vs HBase
    • Between Data Science vs Web Development
    • Hadoop vs MapReduce
    • Hadoop Vs SQL
    • Google Analytics vs Mixpanel
    • Google Analytics Vs Piwik
    • Google Cloud vs AWS
    • Hadoop vs Apache Spark
    • Hadoop vs Cassandra
    • Hadoop vs Elasticsearch
    • Hadoop vs Hive
    • Hadoop vs MongoDB
    • HADOOP vs RDBMS
    • Hadoop vs Spark
    • Hadoop vs Splunk
    • Hadoop vs SQL Performance
    • Hadoop vs Teradata
    • HBase vs HDFS
    • Hive VS HUE
    • Hive vs Impala
    • JDBC vs ODBC
    • Kafka vs Kinesis
    • Kafka vs Spark
    • Cloud Computing vs Data Analytics
    • Data Mining Vs Data Analysis
    • Data Science vs Statistics
    • Big Data Vs Predictive Analytics
    • MapReduce vs Yarn
    • Hadoop vs Redshift
    • Looker vs Tableau
    • Machine Learning vs Artificial Intelligence
    • Machine Learning vs Neural Network
    • Machine Learning vs Predictive Analytics
    • Machine Learning vs Predictive Modelling
    • Machine Learning vs Statistics
    • MariaDB vs MySQL
    • Mathematica vs Matlab
    • Matlab vs Octave
    • MATLAB vs R
    • MongoDB vs Cassandra
    • MongoDB vs DynamoDB
    • MongoDB vs HBase
    • MongoDB vs Oracle
    • MongoDB vs Postgres
    • MongoDB vs PostgreSQL
    • MongoDB vs SQL
    • MongoDB vs SQL server
    • MS SQL vs MYSQL
    • MySQL vs MongoDB
    • MySQL vs MySQLi
    • MySQL vs NoSQL
    • MySQL vs SQL Server
    • MySQL vs SQLite
    • Neural Networks vs Deep Learning
    • PIG vs MapReduce
    • Pig vs Spark
    • PL SQL vs SQL
    • Power BI Dashboard vs Report
    • Power BI vs Excel
    • Power BI vs QlikView
    • Power BI vs SSRS
    • Power BI vs Tableau
    • Power BI vs Tableau vs Qlik
    • PowerShell vs Bash
    • PowerShell vs CMD
    • PowerShell vs Command Prompt
    • PowerShell vs Python
    • Predictive Analysis vs Forecasting
    • Predictive Analytics vs Data Mining
    • Predictive Analytics vs Data Science
    • Predictive Analytics vs Descriptive Analytics
    • Predictive Analytics vs Statistics
    • Predictive Modeling vs Predictive Analytics
    • Private Cloud vs Public Cloud
    • Regression vs ANOVA
    • Regression vs Classification
    • ROLAP vs MOLAP
    • ROLAP vs MOLAP vs HOLAP
    • Spark SQL vs Presto
    • Splunk vs Elastic Search
    • Splunk vs Nagios
    • Splunk vs Spark
    • Splunk vs Tableau
    • Spring Cloud vs Spring Boot
    • Spring vs Hibernate
    • Spring vs Spring Boot
    • Spring vs Struts
    • SQL Server vs PostgreSQL
    • Sqoop vs Flume
    • Statistics vs Machine learning
    • Supervised Learning vs Deep Learning
    • Supervised Learning vs Reinforcement Learning
    • Supervised Learning vs Unsupervised Learning
    • Tableau vs Domo
    • Tableau vs Microstrategy
    • Tableau vs Power BI vs QlikView
    • Tableau vs QlikView
    • Tableau vs Spotfire
    • Talend Vs Informatica PowerCenter
    • Talend vs Mulesoft
    • Talend vs Pentaho
    • Talend vs SSIS
    • TensorFlow vs Caffe
    • Tensorflow vs Pytorch
    • TensorFlow vs Spark
    • TeraData vs Oracle
    • Text Mining vs Natural Language Processing
    • Text Mining vs Text Analytics
    • Cloud Computing vs Virtualization
    • Unit Test vs Integration Test?
    • Universal analytics vs Google Analytics
    • Visual Analytics vs Tableau
    • R vs Python
    • R vs SPSS
    • Star Schema vs Snowflake Schema
    • DDL vs DML
    • R vs R Squared
    • ActiveMQ vs Kafka
    • TDM vs FDM
    • Linear Regression vs Logistic Regression
    • Slf4j vs Log4j
    • Redis vs Kafka
    • Travis vs Jenkins
    • Fact Table vs Dimension Table
    • OLTP vs OLAP
    • Openstack vs Virtualization
    • Cluster v/s Factor analysis
    • Informatica vs Datastage
    • CCBA vs CBAP
    • SPSS vs EXCEL
    • Excel vs Tableau
    • Cassandra vs MySQL
    • RabbitMQ vs Kafka
    • SAAS vs Cloud
    • RabbitMQ vs Redis
    • AMQP vs MQTT
    • Forward Chaining vs Backward Chaining
    • Google Data Studio vs Tableau
    • ActiveMQ vs RabbitMQ
    • Cloud vs Data Center
    • Cores vs Threads
    • Inner Join vs Outer Join
    • ZeroMQ vs Kafka
    • Mxnet vs TensorFlow
    • Redis vs Memcached
    • RDBMS vs NoSQL
    • AWS Direct Connect vs VPN
    • Cassandra vs Couchbase
    • Elegoo vs Arduino
    • Redis vs MongoDB
    • Chef vs Puppet
    • GSM vs GPRS
    • Keras vs TensorFlow vs PyTorch
    • Cloudflare vs CloudFront
    • Bitmap vs Vector
    • Left Join vs Right Join
    • IaaS vs PaaS
    • Blue Prism vs UiPath
    • GNSS vs GPS
    • Cloudflare vs Akamai
    • GCP vs AWS vs Azure
    • Arduino Mega vs Uno
    • Qualitative vs Quantitative Data
    • Arduino Micro vs Nano
    • PIC vs Arduino
    • PRTG vs Solarwinds
    • PostgreSQL vs SQLite
    • Metabase vs Tableau
    • Arduino Leonardo vs Uno
    • Arduino Due vs Mega
    • ETL Vs Database Testing
    • DBMS vs File System
    • CouchDB vs MongoDB
    • Arduino Nano vs Mini
    • IaaS vs PaaS vs SaaS
    • On-premise vs off-premise
    • Couchbase vs CouchDB
    • Tableau Dimension vs Measure
    • Cognos vs Tableau
    • Data vs Metadata
    • RethinkDB vs MongoDB
    • Cloudera vs Snowflake
    • HBase vs Cassandra
    • Business Analytics vs Business Intelligence
    • R Programming vs Python
    • MongoDB vs Hadoop
    • MySQL vs Oracle
    • OData vs GraphQL
    • Soft Computing vs Hard Computing
    • Binary Tree vs Binary Search Tree
    • Datadog vs CloudWatch
    • B tree vs Binary tree
    • Cloudera vs Hortonworks
    • DevSecOps vs DevOps
    • PostgreSQL Varchar vs Text
    • PostgreSQL Database vs schema
    • MapReduce vs spark
    • Hypervisor vs Docker
    • SciLab vs Octave
    • DocumentDB vs DynamoDB
    • PostgreSQL union vs union all
    • OrientDB vs Neo4j
    • Data visualization vs Business Intelligence
    • QlikView vs Qlik Sense
    • Neo4j vs MongoDB
    • Postgres Schema vs Database
    • Mxnet vs Pytorch
    • Naive Bayes vs Logistic Regression
    • Random Forest vs Decision Tree
    • Random Forest vs XGBoost
    • DynamoDB vs Cassandra
    • Looker vs Power BI
    • PostgreSQL vs RedShift
    • Presto vs Hive
    • Random forest vs Gradient boosting
    • Gradient boosting vs AdaBoost
    • Amazon rds vs Redshift
    • Bigquery vs Bigtable
    • Data Architect vs Data Engineer
    • DataSet vs DataTable
    • dataset vs dataframe
    • Dataset vs Database
    • New Relic vs Splunk
    • Data Architect and Management Designer
    • Data Engineer vs Data Analyst
    • Grafana vs Tableau
    • MySQL text vs Varchar
    • Relational Database vs Flat File
    • Datadog vs Prometheus
    • Neo4j vs Neptune
    • Data Mining vs Data warehousing
    • DocumentDB vs MongoDB
    • PostScript vs PCL
    • QRadar vs Splunk
    • Qlik Sense vs Tableau
    • DigitalOcean vs Google Cloud
    • PostgreSQL vs Elasticsearch
    • Redshift vs blueshift
    • Gitlab vs Azure DevOps

Azure SQL Database vs SQL Server

Azure SQL Database vs SQL Server

Difference Between Azure SQL Database vs SQL Server

Azure SQL database vs SQL server is defined as Microsoft SQL server is a famous database infusion which is selected by many organizations because of its performance, flexibility, and enterprise-ready quality. When we want to relocate or generate a Microsoft SQL server project to azure, then it has alternatives such as azure SQL database, SQL server on an azure virtual machine, and azure SQL server-supported system. So azure SQL can assist in overcoming complications when the SQL server option can expand the command.

Azure SQL database is based on SQL Server, which is the reason they both share a lot of the same features. But despite having some similarities, both database systems are different in more ways than they are similar. Let’s understand the fundamental difference out of the way. While in an SQL server, databases are the only entity on the database server, whereas one database can host multiple databases from various customers on the Azure SQL database.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

SQL Server is simply a platform for the retention and management of data. It’s often on a server in your data center. So, you control the hardware, networking, etc. You give this up when you move to a cloud solution such as Azure. Azure is actually a collection of various service offerings.

What is Azure SQL Database?

Azure SQL Database is a completely controlled platform as a service (PaaS) database engine that can control most of the database management tasks such as improving, repairing, assisting, and observing with no user participation. Azure SQL database always runs on the latest version of the SQL server database. With the assistance of the Azure SQL database, we can generate a highly accessible and high-execution data storage layer for the applications and infusion in Azure.

What is SQL Server?

SQL Server is a relational database management system evolved by Microsoft. It is primarily evolved to take part with MySQL and Oracle databases; similar to other RDBMS software, SQL Server has constructed on top of SQL a standard programming language for interconnecting with relational databases. SQL Server helps ANSI SQL, which is the standard SQL (Structured Query Language) language. SQL Server begins with its own implementation of the SQL language and Transact-SQL. T-SQL is a Microsoft modesty Language locally known as Transact-SQL.

Head to Head Comparison Between Azure SQL Database vs SQL Server (Infographics)

Below are the top 8 differences between Azure SQL Database vs SQL Server:

Azure-SQL-Database-vs-SQL-Server-info

Key Difference Between Azure SQL Database vs SQL Server

Below are the key differences between Azure SQL Database vs SQL Server:

  • Structure: When we talk about the composition of Azure SQL database, which has a more complex formation compared to SQL Server.
  • Database Size: The database size of the Azure SQL database every time depends on the underlying service tier models, and the database size for SQL Server depends on the size of the VM (Virtual Machine).
  • Availability: Azure SQL database has the edge over SQL Server is its high availability. Azure SQL database’s infrastructure provides fault liberality and a big opportunity for the databases. Whereas SQL Server infrastructure provides fault liberality and high opportunity for the VMs by default.
  • Backup and Restoration: The backup and restoration quality are by far the prime satisfaction of utilizing Azure SQL database over SQL Server. So, we can reserve the database on SQL Server utilizing SSMS, and point-in-time can reserve as per the aided regularity.

Azure SQL Database Requirement

  • ODBC Connections: Microsoft SQL Server local Client 11.0 ODBC driver requires to be installed on the machine from which HVR attaches to Azure SQL Database.
  • Configuration Notes: The Azure SQL database server is going through a default firewall, stopping incoming connections. This can be composed within the Database server/Show firewall environments.
  • Capture: HVR authorizes us to record exchanges from Azure SQL Database that can define the arrangement of requisite for recording conversion from Azure SQL Database.
  • Location Connection: This can define the connection features which are needed for generating an Azure SQL Database location in HVR.

SQL Server Requirement

Hardware Requirements:

  • SQL Server needs a minimal 6GB hard disk space.
  • SQL Server needs Super-VGA(800×600) monitor resolution.
  • Internet needs to retrieve internet service.

Database Requirements:

  • SQL Server 2008 R2 SP3
  • SQL Server 2012
  • SQL Server 2014
  • SQL Server 2016
  • SQL Server 2017

Operating Systems:

  • Windows Server 2012 R2
  • Windows Server 2016
  • Windows Server 2019

Comparison Table of Azure SQL Database vs SQL Server

Below is the top comparison between Azure SQL Database vs SQL Server:

Sr. No Azure SQL Database SQL Server
1. It is a cloud computing database service platform given by Microsoft Azure. It is a relational database management system which is developed by Microsoft that begins with an assortment of add-on services.
2. It does not support the CLR (Common Language Runtime). It supports the CLR (Common Language Runtime).
3. It has software multitenancy and authorizes all tenants to utilize its physical entities in real-time. It is only the entity on the server, whereas one database can host various databases from different databases.
4. It has storage of up to 16 TB. It has storage upto 256 TB.
5. It can automatically back up the database and transaction logs periodically. It can copy the data record from the SQL server database from its transaction log.
6. It is an automatic process. It is not an automatic process.
7. The availability of it is 99.995%, and it is a pledge. The availability of it is 99.99%.
8. The database size always depends on the underlying service tier. The max size of the database is constrained by the size of the VM.

Purpose of Azure SQL Database

With the help of the azure SQL database, we can generate a highly accessible and high-performance data storage layer for the application. The main purpose of it is to authorize us to point towards domain-specific database administration and to correct the activities which are dangerous for our business. It provides the latest stable version of the Microsoft SQL server database engine.

Purpose of SQL Server

It is a relational database management system that has been outlined and constructed to control and reserve information. The system can assist in different business intelligence functioning, problem-solving functioning, and transaction processing in an IT environment.

Conclusion

In this article, we conclude that the azure SQL database can be utilized when we want less management overhead and complete cost of ownership, whereas an SQL server can be selected when we want the full support of the operating system, so this article will help to understand the difference between azure SQL database vs SQL server.

Recommended Articles

This is a guide to Azure SQL Database vs SQL Server. Here we discuss the key differences with infographics and a comparison table. You may also look at the following articles to learn more –

  1. Azure vs Google Cloud
  2. AWS vs Azure vs Google Cloud
  3. Microsoft Azure vs Amazon Web Services
  4. Active Directory vs Azure Active Directory
Popular Course in this category
Data Scientist Training (85 Courses, 67+ Projects)
  85 Online Courses |  67 Hands-on Projects |  660+ Hours |  Verifiable Certificate of Completion
4.8
Price

View Course

Related Courses

Tableau Training (8 Courses, 8+ Projects)4.9
Azure Training (6 Courses, 5 Projects, 4 Quizzes)4.8
Hadoop Training Program (20 Courses, 14+ Projects, 4 Quizzes)4.7
Data Visualization Training (15 Courses, 5+ Projects)4.7
All in One Data Science Bundle (360+ Courses, 50+ projects)4.7
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more