Which of the following tools can be used to connect to azure sql database?

Good Afternoon, We are connecting from Oracle Analytic cloud (OAC) BI reporting platform to Azure hosted SQL database. OAC provides Azure Synapse Analytics connection type and we are able to connect successfully. But, i am curious to understand what connection driver is used internally? ODBC, JDBC , SQL Connection, ADO.Net ... ? Appreciate if someone could kindly provide some insight. Thank you Mushtaq Hi Thank you for posting query in Microsoft Q&A Platform. It depends on your OAC instance configuration settings for synapse you used I believe. If OAC synapse connection type does not expose configuration details underneath then kindly consider reaching OAC support team to understand more about the Synapse connection type and how it developed behind scenes under OAC. Kindy consider checking with your system administrators as well. Hope this helps. Please let me know if any further queries. Please consider hitting Accept Answer button. Accepted answers help community as well.

Twitter Facebook LinkedIn Azure SQL Database is a managed SQL database service that’s built so developers and admins don’t have to perform the tedious tasks of installing SQL server, or spending hours setting up failover clusters. Microsoft Azure has taken the heavy lifting out of setting up the database tier, so all that’s left to do is connect to it, so that’s what this article is going to cover. Here are several different ways to connect to an Azure SQL database. Prerequisites If you’d like to connect to Azure SQL database, you’ll need to meet a few prerequisites ahead of time. • An Azure account, or access to one • An Azure SQL Database (You can use your own if you like, but I’ll be using the • A Windows 10, Mac OS, or Linux laptop or desktop with PowerShell, Visual Studio Code and SQL Server Management Studio installed. The screenshots are all from Windows 10. There are • The Azure Portal • SQL Server Management Studio • Visual Studio Code • PowerShell Configuring the Azure SQL Database Before you get started, you must make sure you have a database available and can connect to it. Using the instructions from the ata-demo. This database has a SQL admin (sa) user AtaAdmin and the password is Admin123. The password I’m using isn’t the most secure, but it’ll do for demo purposes. For the love of Equifax, please use best practices for passwords when you set something like this up in QA or Production! Next, you’ll need to login to the Set Server Firewall. Setting an Azure S...

This tutorial explains concepts related to Microsoft Azure SQL Database like how to connect to and create a database, architecture, price, etc.: As per today’s modern generation technology, a cloud solution is in high demand, and in the corporate world, they have already adopted modern data center technologies. Microsoft Azure SQL server provides the tremendous, fast, and fully managed cloud database relational solution technique with scalability and data security mechanisms. In this article, we will understand creating the database using the Azure SQL database, set the standard, and move the data utilizing the Platform as a Service (PaaS) technique. Azure SQL Database is a reliable, scalable Database as a Service (DaaS) that also has the capability of durability with fully automated AI-powered techniques. Using DaaS we can host the database and develop the relational SQL database in the Azure cloud without the use of hardware or software installation. Azure SQL database enables the modern cloud application technique which has plenty of resources to support both the types of relational and non-relational data, for example, XML, graphs, and JSON. In Azure cloud, we can create the database and run it within 5 minutes. We can also scale up and scale down the database as per the business requirements. Azure SQL Database Features The features are: • Upgrading and patching. • Best long-term backup continuity • Geographically distributed data networks • Monitoring • Develop high-...

In this article Applies to: SQL Server on Azure VM This article provides a detailed description of the available configuration options when deploying your SQL Server on Azure Virtual Machines (VMs) by using the Azure portal. For a quick guide, see the Prerequisites An Azure subscription. Create a Choose Marketplace image Use the Azure Marketplace to choose one of several pre-configured images from the virtual machine gallery. The Developer edition is used in this article because it is a full-featured, free edition of SQL Server for development testing. You pay only for the cost of running the VM. However, you are free to choose any of the images to use in this walkthrough. For a description of available images, see the Licensing costs for SQL Server are incorporated into the per-second pricing of the VM you create and varies by edition and cores. However, SQL Server Developer edition is free for development and testing, not production. Also, SQL Express is free for lightweight workloads (less than 1 GB of memory, less than 10 GB of storage). You can also bring-your-own-license (BYOL) and pay only for the VM. Those image names are prefixed with . For more information on these options, see To choose an image, follow these steps: • Select Azure SQL in the left-hand menu of the Azure portal. If Azure SQL is not in the list, select All services, then type Azure SQL in the search box. You can select the star next to Azure SQL to save it as a favorite to pin it to the left-hand n...

In this article, we will uncover the basics of the Azure SQL Database. Introduction Since cloud computing has entered our lives, we have started to gain an ability to access various services at incredible speeds through the cloud. Servers, storages, databases, networking, and software can be counted as an example of these services. The ability to quickly access these resources continues to directly affect productivity positively and it seems that it will continue to do so with more acceleration than today. In this way, we can increase our flexibility in challenging market conditions. Also, effective cost management benefit is another essential advantage of the cloud-computing. Buying new hardware and software causes the increasing expense of the organizations. On the other hand, the organizations need to employ IT experts to manage these new infrastructures. However, cloud-computing helps to reduce these expense items. What is Azure SQL Database Azure SQL Database is a cloud-computing database service ( • Long-term backup retention enables us to keep backups for up to 10 years • Geo-replication provides to create readable secondary databases in different data center locations • Automatic tuning is an autonomous artificial intelligence-based performance tuning option that fixes the performance problems automatically • Business continuity • High-availability • Scaling database resources feature is the most powerful feature that provides scaling the database resources either ...

There are many ways in which an Azure SQL database can be created, and if you are new to the development all those different options can be quite intimidating. Let me show you, in just a few steps, how easy it is instead. This is what we are going to do: • Create a resource group • Create an Azure SQL logical server • Create an Azure SQL database • Configure the firewall • Create a user • Get the connection string I'll be using the Azure Shell portal, as it provides a full experience without the need to install anything on your machine. The only thing you must have ready, is an Azure subscription. Open a browser and point to A dev-demo: Enter fullscreen mode Exit fullscreen mode If you plan to use the created database with some other Azure services (like, for example, Azure Functions or Web Apps or Containers) and you don't have extremely high security policies, you can allow Azure services to connect to your database by creating this firewall rule: Enter fullscreen mode Exit fullscreen mode You learned before that the administrative account should never be used to allow applications we create or work with to connect to the database, so we need to create a dedicated user. It's easy. You need to connect to Azure SQL database using the sqlcmd tool (as you notice you'll be using the administrator login here): Enter fullscreen mode Exit fullscreen mode Once the user has been created, you need to give it enough permission to work with the data in the database. If it just needs ...

I am trying to connect to an Azure SQL Database via a UMI. I can connect via local SQL creds as well as AAD creds, but not when specifying AAD - Managed Identity: I get the following error: I've created a SQL User associated via CREATE USER MyUserManagedId FROM EXTERNAL PROVIDER and added the role of db_owner to no avail. All the docs and demos I've seen/read up to the point either show a System Managed ID and/or connecting via a VM and/or code, which makes me wonder if I am trying to do something that's unsupported. Is there something magical that I'm missing? Thanks! Thanks for the sanity check, @Nick.McDermaid. I had connection strings and client secrets in code and went down a rathole on Azure key vault & managed identities. I thought I'd first try connecting to the db using managed identities via SSMS. I now realize it doesn't make sense given its purpose is to request a bearer token from Azure AD, which it can then present to the requested service. SSMS is not an Azure service authorized by AAD so the identity is not known. Unless, SSMS was running in an Azure VM, whereby I'm thinking you could use SSMS Managed Identity to sign-on. Thanks. For example if you are using Azure Data Factory, you just grant the Azure Data Factory managed identity required access with CREATE USER as you have done, then in your connection inside ADF, you specify managed identity. No secrets or keyvault required. It's possible to not use KeyVault at all (and personally I take great steps to ...

Using SQL Server authentication and the val config = Config(Map( "url" ->"kkk-server.database.windows.net:1433", "databaseName" ->"MyDatabase", "dbTable" ->"dbo.Clients", "user" ->"login", "password" ->"xxxxxxxx", "connectTimeout" ->"5", //seconds "queryTimeout" ->"5" //seconds )) Using Active Directory Authentication you can try code below: import com.microsoft.azure.sqldb.spark.config.Config import com.microsoft.azure.sqldb.spark.connect._ val config = Config(Map( "url" ->"kkk-server.database.windows.net:1433", "databaseName" ->"MyDatabase", "dbTable" ->"dbo.Clients", "user" ->"AD-account", "password" ->"xxxxxxxx", "connectTimeout" ->"5", //seconds "queryTimeout" ->"5" //seconds )) val collection = spark.read.sqlDB(config) collection.show() If you are interested in AD authentication using a token, please visit If you are using Python and Azure Databricks, try below code with jdbcHostname = "xxxxxxx.database.windows.net" jdbcDatabase = "yyyyyy" jdbcPort = 1433 #jdbcUrl = "jdbc:sqlserver:// pushdown_query = "(INSERT INTO test (a, b) VALUES ('val_a', 'val_b')) insert_test"