Redgate Database Lifecycle Management (DLM) vs SQL Server Data Tools (SSDT)

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1 Redgate Database Lifecycle Management (DLM) vs SQL Server Data Tools (SSDT)

2 "Once the team saw they could deploy all their database changes error-free at the click of a button, with no more manual scripts, it spread by word of mouth. The value was obvious and everyone was on board." Sjors Takes, DBA at Albumprinter Introduction Changes in the software development landscape, like the rise of Agile methodologies and DevOps, are creating pressure to shorten release cycles and deliver software more rapidly. This has led to companies adopting development practices like continuous integration and release automation to speed up development. In the past, these practices have been associated only with application development, but they re now possible for relational databases too. At Redgate, we believe the tooling to support this approach for databases has to fit in with the way you already work, because the cost of tools is insignificant compared to an organizational process change. 2

3 Apply changes straight to your database or work with scripts Redgate's Database Lifecycle Management (DLM) methodology allows connected database development, sometimes referred to as online development. In this model, users make changes directly to their databases and have them applied to source control. Customer feedback suggests this connected model is the preferred approach for database development. Users can continue developing database changes online in SQL Server Management Studio (SSMS), while maintaining a history of changes in their source control system. This is in direct contrast with Microsoft SQL Server Data Tools (SSDT) and most home-grown solutions for source controlling databases, which use an offline development model. Here, rather than working directly with the database, users work with SQL scripts which are then applied to a database. Develop on a shared database or use dedicated databases for each developer In the dedicated model of database development encouraged by Microsoft SSDT, changes made to SQL scripts are deployed to a local database for testing. In research, however, 60% of respondents indicate they use a shared, central database. Redgate's DLM tools allow you to work in a dedicated or shared model, depending which you prefer, and have features built-in to enhance workflows. SQL Source Control, for example, offers object locking which enables better collaboration by minimizing the risk of developers overwriting each other's changes in a shared model. 3

4 Use a hybrid state AND migrations approach Broadly speaking, there are two ways to implement DLM. You can either work with a model of how you want the database to look (eg, SSDT), or you can work with migration scripts that are applied automatically (eg, DbUp/Flyway). Both approaches can work, but neither are perfect. With state-based solutions, you typically trust the software to create deployment scripts, but there are some changes it can t handle (e.g. column splits, new NOT NULL columns), so statebased solutions can never be a 100% DLM solution. Migration solutions, on the other hand, allow developers to script out any deployment very reliably, although managing dependencies, ordering and conflicts becomes a massive overhead at scale and often results in errors. Redgate SQL Source Control resolves the issue by giving users a hybrid model where they use state by default but can use migration scripts when necessary. This way, the number of migration scripts you need to manage is greatly reduced, yet you can provide custom scripts for those changes that state-based solutions struggle with. SQL Source Control is the only viable solution on the market that provides the agile development experience of a state-based solution alongside the power of a migration solution. Source control for reference data A common problem in database development is how to manage reference data in a source control context. Microsoft SSDT, for example, has no support for static data and cannot version or deploy it. It can only be deployed via a postdeployment script workaround. Redgate s SQL Toolbelt enables static data, lookup data, and configuration data to be source controlled and compared. (Lookup data in particular can often change, so it's essential to have it tied into your database development process.) In addition to these key differentiators, Redgate's DLM approach includes the option to write database unit tests in T-SQL and run them in SSMS. It's also possible to automatically generate realistic test data to reduce the risk of failure even further. 4

5 Redgate extends your existing infrastructure Application Lifecycle Management (ALM) is common in many organizations, and a development infrastructure is usually in place to cover version control, continuous integration, and automated releases for applications. Redgate's DLM solution extends your existing infrastructure to include the database, instead of requiring you to change processes or add additional platforms. Database source control using your current version control system SQL Source Control is an add-in for SSMS which links your database to your version control system and works with Team Foundation Server (TFS), Subversion, Git, Vault, Mercurial, Perforce, or any source control system with a command line. So whichever source control system you have in place for the application, you can now include the database alongside it. Include your database in your CI process To enable continuous integration (CI) for databases, Redgate s DLM Automation plugs into Visual Studio Team Foundation Build, TeamCity, Jenkins, and many more. On each check-in to source control or however often you set it to run it builds, tests, and packages your database changes alongside your application code. This helps teams build confidence in their changes and discover problems sooner. DLM Automation also creates packages that can be used with your release management software to automate the deployment process. Native Microsoft technology only provides a command line that needs to be integrated programmatically. 5

6 Deploy database and application changes tool with the same To automate deployments and enable continuous delivery, DLM Automation integrates with release management tools such as Release Management for Visual Studio, Octopus Deploy, and Bamboo. It automatically generates a SQL script to update production databases, tests this script in representative pre-production environments, and integrates with review and approval workflows in your release management tool. DLM Automation has pre-configured step templates for Octopus Deploy to make getting started with database release management even more straightforward. Redgate offers the most complete lifecycle solution for the database Redgate offers simple tooling that has been optimized for ease of use and covers the entire database lifecycle for SQL Server. Microsoft SSDT, on the other hand, doesn't provide users with much UI guidance, and DLM with Microsoft's tools is command-line driven. This doesn't offer the simplicity of a user interface or a builtin manual review step to enable safe deployment to production. Furthermore, it doesn't include visualization and monitoring of the deployment pipeline. Visualize your schema changes Redgate's DLM Dashboard offers unique visualizations of schema changes, whether planned or unplanned, so users always know what they re deploying against. It shows whether SQL Server environments such as staging or production have drifted from their expected state, and, crucially, who changed what, and when. 6

7 Limitations of SSDT The auto-generated scripts created by SSDT will sometimes result in table/index rebuilds, which are unacceptable from a performance standpoint. Apart from writing custom build contributors, a non-trivial development task, pre/post scripts are the workaround. This raises many issues: It is not intuitive to understand what workaround scripts are required The scripts are run on every deployment, with no versioning, requiring discipline to make them idempotent The scripts are not inside the transaction, so are not rolled back if a later step fails Scripts are hard to manage because they grow forever There is an upper limit for post deployment scripts Reference data is not supported so must also be considered as a postdeployment script workaround 7

8 Redgate differentiators With a portfolio of tools that can be plugged into your existing infrastructure at every stage in the DLM process, Redgate offers many advantages over SSDT: Developers can work in SSMS and source control databases alongside applications Teams can develop against a central shared database using connected development, with Object Locking protecting against inadvertent changes Reference data can be source controlled as well as database schema Continuous delivery and continuous integration are made easier with a hybrid migrations approach Teams are not restricted to the Microsoft stack TeamCity can be used for CI, for example, and Octopus Deploy can be used for continuous delivery Redgate tooling produces by default an audit of changes made to databases which can be used for governance and compliance purposes Test data can be generated for databases with ease Greater visibility is provided across the development and deployment process Communication and collaboration is enhanced during database development and deployments Database updates can be released faster, with fewer errors and minimal worry Get a free trail of all the Redgate tools mentioned at

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