DevOps Automation for SQL Server vs Sleuth

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DevOps Automation for SQL Server

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Sleuth

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DevOps Automation for SQL Server vs Sleuth: What are the differences?

DevOps Automation for SQL Server: A breakthrough solution for automation of the database development with the DevOps approach. It minimizes deployment risks, energizes quality and update frequency, makes the overall workflow consistent and safe. It is a cutting-edge solution that takes conventional database development and deployment to a whole new level; Sleuth: Devops for remote teams. Track software deployments through your remote team's complete DevOps stack, integrating the tools your team already uses. Plan, schedule, and track releases across timezones, and when something goes wrong, quickly identify, resolve, and re-deploy.

DevOps Automation for SQL Server and Sleuth belong to "DevOps Automation" category of the tech stack.

Some of the features offered by DevOps Automation for SQL Server are:

  • Implement database Continuous Integration and Continuous Delivery
  • Minimize SQL Server database deployment risks
  • Drive quality and frequency of SQL Server database updates

On the other hand, Sleuth provides the following key features:

  • Powerful Environment Support
  • Advanced Deployment Strategies
  • Deep Integrations
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What is DevOps Automation for SQL Server?

It minimizes deployment risks, energizes quality and update frequency, makes the overall workflow consistent and safe. It is a cutting-edge solution that takes conventional database development and deployment to a whole new level.

What is Sleuth?

Track software deployments through your remote team's complete DevOps stack, integrating the tools your team already uses. Plan, schedule, and track releases across timezones, and when something goes wrong, quickly identify, resolve, and re-deploy.

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What are some alternatives to DevOps Automation for SQL Server and Sleuth?
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
DataGrip
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
DBeaver
It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
See all alternatives