Hi everyone,

We are excited to share our latest release with you! Here's what's new:

• Pre-migration Checks: Before migrating your schema, you can now add SQL checks that will be verified to help avoid risky migrations.
• Schema Docs: Atlas lets you manage your database schema as code. One of the things we love most about code, is that because of its formal structure, it's possible to automatically generate documentation from it. With this release, we're introducing a new feature that lets you generate code-grade documentation for your database schema.
• SQL Server Trigger Support: Atlas now supports managing triggers in SQL Server.
• ClickHouse Materialized View Support: Atlas now supports managing materialized views in ClickHouse.

Let's dive in.

The Evolution of Database Schema Management​

In today's world, where software is developed and deployed at a rapid pace, selecting the right tools for your team is crucial. The right tools can help you move faster, be more productive, and reduce the risk of errors and bugs. Most backend applications are backed by a database, and maintaining the database schema is a critical part of the development process.

Our industry has seen many trends in the way database schemas evolve over the years. In the early days, DBAs would manually run SQL DDL commands directly against the database through a terminal. Then came GUI based, point-and-click database management tools that included schema editing capabilities.

In the early 2000s, we saw the rise of "database migration tools" that allowed developers to write versioned database upgrade scripts (usually in SQL), called "migrations", that would be executed by the tool itself. This trend was further intensified with the rise of DevOps and CI/CD, as it became the de-facto standard way for automating database schema management.

Hi everyone,

Thanks for joining us today for another release announcement! We have a bunch of really exciting features to share with you today, so let's get started! Here's what we'll cover:

• Drift Detection - A common source of database trouble is that the schema in your database doesn't match the schema in your code. This can happen for a variety of reasons, including manual changes to the database, or changes made by other tools. Today, we are happy to announce the availability of a new feature that lets you automatically detect these changes, and alerts you when they happen.
• SQLAlchemy Support - SQLAlchemy is a popular Python ORM. Developers using SQLAlchemy can use Atlas to automatically plan schema migrations for them, based on the desired state of their schema instead of crafting them by hand.
• VSCode ERDs - We've added a new feature to our VSCode extension that lets you visualize your database schema as an ERD diagram.
• Composite Schemas - The newly added composite_schema data source lets you combine multiple schemas into one, which is useful for managing schemas that are loaded from multiple sources or to describe applications that span multiple database schemas.

Hi everyone,

I hope you are enjoying the holiday season, because we are here today with the first Atlas release of 2024: v0.17. It's been only a bit over a week since our last release, but we have some exciting new features we couldn't wait to share with you:

• Trigger Support - Atlas now supports managing triggers on MySQL, PostgreSQL, MariaDB and SQLite databases.
• Improved ERDs - You can now visualize your schema's SQL views, as well as create filters to select the specific database objects you wish to see.

Without further ado, let's dive in!

Hi everyone,

It's been a while since our last version announcement and today I'm happy to share with you v0.16, which includes some very exciting improvements for Atlas:

• ClickHouse Beta Support - ClickHouse is a high-performance, columnar database optimized for analytics and real-time query processing. Support for ClickHouse in Atlas has been one of the top requested features by our community in the past year. Today, we are happy to announce that ClickHouse is officially in Beta!
• Hibernate Provider - Atlas now supports loading the desired state of your database directly from your Hibernate code. Hibernate developers can now join developers from the GORM, Sequelize, TypeORM and more communities who can now use Atlas to manage their database schema.
• Baseline Schemas - In some cases, your migrations rely on certain database objects to exist apriori to your application schema, for example extensions or legacy tables. Atlas now supports defining a baseline schema which will be loaded before automatically planning and applying your migrations.
• Proactive conflict detection - Teams that have connected their project to Atlas Cloud will get a prompt in the CLI if their migration directory is out of sync with the latest version in Atlas Cloud. This ensures that new migration files are added in a sequential order, preventing unexpected behavior.
• Mermaid Support - Atlas now supports generating a Mermaid diagram of your database schema. This is a great way to visualize your database schema and share it with your team.
• Review Policies - Users working with declarative migrations can now define "review policies" which can define thresholds for which kinds of changes require human review and which can be auto-applied.
• Postgres Sequences - Another long awaited feature, Atlas now supports managing sequences in PostgreSQL.

I know that's quite a list, so let's dive right in!

Introduction​

Hibernate-ORM is one of the most popular ORMs for Java, so much so that parts of it have evolved into the JPA standard and the Jakarta APIs.

Today, we are excited to announce that Atlas now supports loading and managing Hibernate schemas.

Atlas is a modern tool for managing your database schema. It allows you to inspect, plan, lint and apply schema changes to your database. It is designed to be used by developers, DBAs and DevOps engineers alike.

By using Atlas, Hibernate users can now enjoy these benefits:

• A declarative migration flow - Atlas can operate like a "Terraform for databases", where by running atlas schema apply the application schema is applied on a target database.
• Automatic schema migration planning - Alternatively, Atlas can operate using a more traditional versioned migration flow. However, contrary to most tools, Atlas will automatically analyze the diff between the migration directory and the current application data model, and will produce correct and safe SQL migration files.
• CI for schema changes - Atlas can be used during CI to make sure you never merge a pull request that will break your database schema.
• Modern CD integrations - Atlas integrates seamlessly with modern deployment tools such as Kubernetes, Terraform, Helm, Flux, and ArgoCD. This allows you to deploy changes to your database schema as part of your existing deployment pipelines.
• Visualization - Atlas users can create beautiful, shareable ERDs of their application data model with a single command.
• .. and much more (read more about Atlas features).

In part one, we demonstrated how to initialize an Atlas project, and create a CI/CD pipeline that automatically plans, verifies and stores your database migrations in Atlas Cloud using GitHub Actions.

In this part, we will show how to deploy these migrations using the Atlas Operator and ArgoCD to demonstrate a complete GitOps workflow for database migrations.

How to GitOps your Database Migrations on Kubernetes​

"We can wrap existing schema management solutions into containers, and run them in Kubernetes as Jobs. But that is SILLY. That is not how we work in Kubernetes."

-Viktor Farcic, DevOps ToolKit

GitOps is a software development and deployment methodology that uses Git as the central repository for both code and infrastructure configuration, enabling automated and auditable deployments.

ArgoCD is a Kubernetes-native continuous delivery tool that implements GitOps principles. It uses a declarative approach to deploy applications to Kubernetes, ensuring that the desired state of the application is always maintained.

Kubernetes Operators are software extensions to Kubernetes that enable the automation and management of complex, application-specific, operational tasks with domain-specific knowledge within a Kubernetes cluster.

In this tutorial, we will use the Atlas Operator in tandem with Atlas Cloud and ArgoCD to create a slick, modern GitOps workflow for managing your database migrations natively in Kubernetes.

For the sake of brevity, we are going to split this guide into two parts:

1. In part one, we will show how to initialize an Atlas project, and create a CI/CD pipeline that will automatically plan, verify and store your database migrations in Atlas Cloud using GitHub Actions.
2. In part two, we will show how to deploy these migrations using the Atlas Operator and ArgoCD to demonstrate a complete GitOps workflow for database migrations.

Hi everyone!

It's been a few weeks since our last version announcement and today I'm happy to share with you
v0.15, which includes some very exciting improvements for Atlas:

• Interactive Declarative Migrations - Atlas supports a Terraform-like workflow for managing your database schema using the schema apply command. In this release we have added a new "Lint and Edit" mode to this command, which will analyze your schema changes for issues and will allow you to edit them interactively before applying them to your database.
• Functions and Stored Procedures - Atlas now supports creating and managing functions and stored procedures in your database schema.
• Postgres Domains - In addition, Atlas now supports Postgres Domains . A domain is essentially a data type with optional constraints (restrictions on the allowed set of values).
• TypeORM Integration - TypeORM is a popular ORM for Node.js. In this release, we are happy to announce the TypeORM integration, which allows you to automatically generate your database schema from your TypeORM entities, create visualizations and more.

Let's dive right in!

Introduction​

As your application's data model evolves, you will need to make changes to your database schema. In today's world, where teams are expected to own their infrastructure and ship code faster than ever, it is important to have a reliable and repeatable process for managing database schema changes.

Atlas lets you manage your database schema as code. It is a modern schema management tool that applies concepts from modern DevOps tools to database schema management. Using Atlas, teams can automatically plan, verify, deploy and monitor database schema changes.

Microsoft SQL Server, one of the longest-standing database engines in our business, was first released by Microsoft in 1989. MS-SQL is the go-to database for Windows environments in many industries.

In this guide, we will demonstrate how to use Atlas to automatically generate migrations for your Microsoft SQL Server databases.