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At the present days, data management has become a crucial industry on its own. This is owing to the fact that data is a pointer towards the direction a business is headed.

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For effective data management across all the fields, it has become necessary to use database design tools to store, manipulate and analyze data to get the best and quick result. This article will help you with an overview of some of these tools.

DbWrench

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This is a complex database tool that aims at improving your experience as a user through the elimination of SQL hand coding. DbWrench uses ER diagrams model, analyze as well as communicate your designs. With this tool, creation and updating of databases is both easy and fast making it a great tool to use.

SQL Developer Data Modeler

This is a database design tool from the software giant Oracle. The tool supports graphical representation of data and it is worth noting that it is distributed freely. The tool supports both the desktop as well as cloud environments though it requires a java environment be installed in the system.

DeZign for Databases

DeZign for Databases by DATANAMIC is a data modeling tool for the serious professionals. The tool deploys ER diagrams to make graphically design databases while generating most popular SQL and desktop databases automatically. It can be used as a conventional database tool while also it can be deployed for forward and reverse engineering.

Other Platforms

In the majority of the cases, databases design tools are developed across all environment, but it is also a fact that the majority are on the Windows platform but requires a java environment to be installed in the system. The field is also mostly dominated by the open-source tools, and this is the reason they are able to simulate on all platforms.

Toad Data Modeler

Toad data modeler is a cross-platform tool that is easy to use and is developed by Dell. With this tool users are able to make data models of high quality and effect data changes with accuracy. The tool was formerly referred to as Case Studio 2.

Navicat For MAC

Navicat Data Modeler for mac is the version that is available specifically for the Mac uses. Navicat supports a variety of database systems. Some of the supported versions are MySQL, Oracle, SQL Server, PostgreSQL, SQLite, and MariaDB. With this tool, reverse engineering, as well as comparisons and synchronizations, is possible.

MobiDB Database Designer

This is a relational database Android app that allows multi-user access as well as synchronization between Android and Windows 10 apps. The tool is able to store virtually everything ranging from inventory to locations making it a great supplement when one is outdoors. It is also easy to use and simple.

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Most Popular Soft 2016 – ModelRight

ModelRight is a database design tool that innovative, reliable and a great value for money and this is the reason it has gained so much popularity during this year. The tool offers a hyperlinked navigation tool that makes it very easy to navigate around the database while ensuring the database remain clean, free from clutter and a modern design environment.

What is a Database Design Tool?

It is always a great idea to go back to the basics so as to understand the most basic principles as well as their benefits. In the case of database design tools, you need to understand what database design is. In this context, it is the capacity to manipulate as well as add data to a database. Therefore, database design tools are those that help in this process. The benefit to the use of these tools is that they to a great extent reduce the amount of knowledge required to make manipulations to complex databases.

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How to Install Database Design Tools

The installation process of these tools is pretty much the same as for those other applications. However, there are some specific requirements that are to be observed in some platforms and also for some specific tools. For instance, there are some tools that may need a java environment to be installed.

Database design tools are great companions for the developers as well as users of information databases. There are quite plenty of these tools and depending on the application being deployed as well as platform, a user can be in a position to make an informed decision on the one to use.

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Here I’ll show you how to get SQL Server up and running on your Mac in less than half an hour. And the best part is, you’ll have SQL Server running locally without needing any virtualization software.

Prior to SQL Server 2017, if you wanted to run SQL Server on your Mac, you first had to create a virtual machine (using VirtualBox, Parallels Desktop, VMware Fusion, or Bootcamp), then install Windows onto that VM, then finally SQL Server. This is still a valid option depending on your requirements (here’s how to install SQL Server on a Mac with VirtualBox if you’d like to try that method).

Starting with SQL Server 2017, you can now install SQL Server directly on to a Linux machine. And because macOS is Unix based (and Linux is Unix based), you can run SQL Server for Linux on your Mac. The way to do this is to run SQL Server on Docker.

So let’s go ahead and install Docker. Then we’ll download and install SQL Server.

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  1. Install Docker

    Download the (free) Docker Community Edition for Mac (unless you’ve already got it installed on your system). This will enable you to run SQL Server from within a Docker container.

    To download, visit the Docker CE for Mac download page and click Get Docker.

    To install, double-click on the .dmg file and then drag the Docker.app icon to your Application folder.

    What is Docker?

    Docker is a platform that enables software to run in its own isolated environment. SQL Server (from 2017) can be run on Docker in its own isolated container. Once Docker is installed, you simply download — or “pull” — the SQL Server on Linux Docker Image to your Mac, then run it as a Docker container. This container is an isolated environment that contains everything SQL Server needs to run.

  2. Launch Docker

    Launch Docker the same way you’d launch any other application (eg, via the Applications folder, the Launchpad, etc).

    When you open Docker, you might be prompted for your password so that Docker can install its networking components and links to the Docker apps. Go ahead and provide your password, as Docker needs this to run.

  3. Increase the Memory

    By default, Docker will have 2GB of memory allocated to it. SQL Server needs at least 3.25GB. To be safe, increase it to 4GB if you can.

    To do this:

    1. Select Preferences from the little Docker icon in the top menu
    2. Slide the memory slider up to at least 4GB
    3. Click Apply & Restart

  4. Download SQL Server

    Now that Docker is installed and its memory has been increased, we can download and install SQL Server for Linux.

    Open a Terminal window and run the following command.

    This downloads the latest SQL Server 2019 for Linux Docker image to your computer.

    You can also check for the latest container version on the Docker website if you wish.

    Update: When I first wrote this article, I used the following image:

    Which downloaded SQL Server 2017. Therefore, the examples below reflect that version.

  5. Launch the Docker Image

    Run the following command to launch an instance of the Docker image you just downloaded:

    But of course, use your own name and password. Also, if you downloaded a different Docker image, replace microsoft/mssql-server-linux with the one you downloaded.

    Here’s an explanation of the parameters:

    -dThis optional parameter launches the Docker container in daemon mode. This means that it runs in the background and doesn’t need its own Terminal window open. You can omit this parameter to have the container run in its own Terminal window.
    --name sql_server_demoAnother optional parameter. This parameter allows you to name the container. This can be handy when stopping and starting your container from the Terminal.
    -e 'ACCEPT_EULA=Y'The Y shows that you agree with the EULA (End User Licence Agreement). This is required in order to have SQL Server for Linux run on your Mac.
    -e 'SA_PASSWORD=reallyStrongPwd123'Required parameter that sets the sa database password.
    -p 1433:1433This maps the local port 1433 to port 1433 on the container. This is the default TCP port that SQL Server uses to listen for connections.
    microsoft/mssql-server-linuxThis tells Docker which image to use. If you downloaded a different one, use it instead.

    Password Strength

    If you get the following error at this step, try again, but with a stronger password.

    I received this error when using reallyStrongPwd as the password (but of course, it’s not a really strong password!). I was able to overcome this by adding some numbers to the end. However, if it wasn’t just a demo I’d definitely make it stronger than a few dictionary words and numbers.

  6. Check the Docker container (optional)

    You can type the following command to check that the Docker container is running.

    If it’s up and running, it should return something like this:

  7. Install sql-cli (unless already installed)

    Run the following command to install the sql-cli command line tool. This tool allows you to run queries and other commands against your SQL Server instance.

    This assumes you have NodeJs installed. If you don’t, download it from Nodejs.org first. Installing NodeJs will automatically install npm which is what we use in this command to install sql-cli.

    Permissions Error?

    If you get an error, and part of it reads something like Please try running this command again as root/Administrator, try again, but this time prepend sudo to your command:

  8. Connect to SQL Server

    Now that sql-cli is installed, we can start working with SQL Server via the Terminal window on our Mac.

    Connect to SQL Server using the mssql command, followed by the username and password parameters.

    You should see something like this:

    This means you’ve successfully connected to your instance of SQL Server.

  9. Run a Quick Test

    Run a quick test to check that SQL Server is up and running and you can query it.

    For example, you can run the following command to see which version of SQL Server your running:

    If it’s running, you should see something like this (but of course, this will depend on which version you’re running):

    If you see a message like this, congratulations — SQL Server is now up and running on your Mac!

A SQL Server GUI for your Mac – Azure Data Studio

Azure Data Studio (formerly SQL Operations Studio) is a free GUI management tool that you can use to manage SQL Server on your Mac. You can use it to create and manage databases, write queries, backup and restore databases, and more.

Azure Data Studio is available on Windows, Mac and Linux.

Here are some articles/tutorials I’ve written for Azure Data Studio:

Another Free SQL Server GUI – DBeaver

Another SQL Server GUI tool that you can use on your Mac (and Windows/Linux/Solaris) is DBeaver.

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DBeaver is a free, open source database management tool that can be used on most database management systems (such as MySQL, PostgreSQL, MariaDB, SQLite, Oracle, DB2, SQL Server, Sybase, Microsoft Access, Teradata, Firebird, Derby, and more).

I wrote a little introduction to DBeaver, or you can go straight to the DBeaver download page and try it out with your new SQL Server installation.

Limitations of SQL Server for Linux/Mac

SQL Server for Linux does have some limitations when compared to the Windows editions (although this could change over time). The Linux release doesn’t include many of the extra services that are available in the Windows release, such as Analysis Services, Reporting Services, etc. Here’s a list of what’s available and what’s not on SQL Server 2017 for Linux and here’s Microsoft’s list of Editions and supported features of SQL Server 2019 on Linux.

Another limitation is that SQL Server Management Studio is not available on Mac or Linux. SSMS a full-blown GUI management for SQL Server, and it provides many more features than Azure Data Studio and DBeaver (at least at the time of writing). You can still use SSMS on a Windows machine to connect to SQL Server on a Linux or Mac machine, but you just can’t install it locally on the Linux or Mac machine.

If you need any of the features not supported in SQL Server for Linux, you’ll need SQL Server for Windows. However, you can still run SQL Server for Windows on your Mac by using virtualization software. Here’s how to install SQL Server for Windows on a Mac using VirtualBox.