StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Devops Automation
  5. DevOps Automation for SQL Server vs Sleuth

DevOps Automation for SQL Server vs Sleuth

OverviewComparisonAlternatives

Overview

DevOps Automation for SQL Server
DevOps Automation for SQL Server
Stacks6
Followers18
Votes0
Sleuth
Sleuth
Stacks11
Followers11
Votes0

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

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

DevOps Automation for SQL Server
DevOps Automation for SQL Server
Sleuth
Sleuth

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.

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.

Implement database Continuous Integration and Continuous Delivery; Minimize SQL Server database deployment risks; Drive quality and frequency of SQL Server database updates; Make the database release workflow consistent and safe
Powerful Environment Support; Advanced Deployment Strategies; Deep Integrations
Statistics
Stacks
6
Stacks
11
Followers
18
Followers
11
Votes
0
Votes
0
Integrations
Jenkins
Jenkins
Microsoft SQL Server
Microsoft SQL Server
GitHub
GitHub
Bitbucket
Bitbucket
Jira
Jira
Datadog
Datadog
Honeybadger
Honeybadger
Sentry
Sentry
CircleCI
CircleCI
Shortcut
Shortcut
Slack
Slack
Rollbar
Rollbar

What are some alternatives to DevOps Automation for SQL Server, Sleuth?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

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.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana