Best Database DevOps Software in 2025 - Page 2

Windocks breaks the enterprise data bottleneck with a range of capabilities including database virtualization, Windows SQL Server Docker containers, synthetic data based masking, database subsetting, and unique code-free and platform native feature data, and single source of truth. Windocks has been trusted by enterprises around the world since 2015, including Novartis, American Family Insurance, DoubleLine, and many more. Windocks software is an affordable solution for small enterprises, as well as departmerns and divisions in a large organization.

Atlas is a language-agnostic tool for managing and migrating database schemas using modern DevOps principles. It enables developers to automate schema changes through both declarative (schema-as-code) and versioned migration workflows, supporting inputs like HCL, SQL, and ORM models. Key features include automatic migration planning, schema diffs, linting, testing, and CI/CD for databases to ensure a reliable and scalable approach to database schema changes

CrystalDB AutoDBA is an AI-powered PostgreSQL management solution designed to simplify and automate database operations. Whether you're running PostgreSQL on-prem, in the cloud, or in a hybrid environment, AutoDBA optimizes performance, scalability, and reliability with minimal manual intervention. It provides real-time observability, AI-driven recommendations for query tuning, indexing, and resource allocation, and automated maintenance tasks like vacuuming and backups. AutoDBA empowers teams to manage their PostgreSQL environments efficiently, whether they bring their own database or leverage CrystalDB’s fully managed database service. Its flexibility makes it ideal for developers, engineers, and database administrators, ensuring your PostgreSQL instances are always running at peak performance with reduced operational overhead.

A data platform that bundles critical data functionalities including data orchestration, quality checks, comprehensive documentation, and observability. This platform empowers users to efficiently extract, transform, and interpret data from various sources. It enables the orchestration of these processes with customizable frequency, ensuring data integrity and complete control over the data journey.

Bytebase is a modern database DevSecOps tool that helps teams access data securely and ship database changes safely. Built for developer, DBA, security, and platform teams, Bytebase centralizes database change management, SQL review, access control, and auditing in a single, collaborative workspace. With Bytebase, you design, review, and deploy schema migrations through a governed workflow instead of ad-hoc SQL scripts. Visual database CI/CD pipelines move changes from development to staging and production with approvals, SQL checkers, and one-click rollback, reducing incidents and drift across environments. GitOps integration lets you manage database schema as code, so developers submit pull requests while Bytebase handles migration ordering and execution. Security and compliance are first-class. Bytebase provides fine-grained role-based access control, just-in-time (JIT) access to production, and a permissioned SQL editor so you can safely query live data. Dynamic data masking protects sensitive columns while still enabling debugging and analytics, and full audit trails show who changed what and when. Bytebase supports popular relational databases and can be deployed in the cloud or self-hosted, making it a strong fit for fast-growing startups and regulated enterprises alike. Teams adopt Bytebase as their control plane for database DevSecOps, bringing DevSecOps practices to the database layer and giving DBAs, developers, and platform engineers a shared, UI-driven experience for reliable, compliant database delivery.

DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastructure, offering managed services for open-source data technologies. Throughout its operations, DoubleCloud provided tools for building data pipelines, including solutions for data ingestion, storage, orchestration, ELT, and real-time visualization. The company was committed to helping businesses streamline and optimize their data operations with powerful, open-source-based technologies.

Sqitch is a robust database change management tool designed to facilitate precise and reliable deployment of database changes across various environments. Unlike traditional migration frameworks, Sqitch operates independently of any specific application framework, ORM, or platform, offering developers the flexibility to implement changes using native SQL scripts tailored to their chosen database engine. This approach ensures that database modifications are executed accurately and in the correct sequence, regardless of the order in which they were committed to version control systems. Key Features and Functionality: - Framework-Agnostic: Sqitch functions as a standalone change management system, free from dependencies on any particular application framework or development environment. - Native Scripting: Developers can write deployment scripts in the native SQL dialect of their selected database engine, ensuring compatibility and leveraging existing database capabilities. - Dependency Resolution: Sqitch allows for the declaration of dependencies between database changes, ensuring that they are applied in the correct order, even if committed out of sequence in version control. - Deployment Integrity: Utilizing a plan file and a Merkle tree structure similar to Git and Blockchain, Sqitch maintains the integrity of deployments, eliminating the need for sequential numbering of changes. - Iterative Development: Until a project is tagged and released, developers can modify deployment scripts as needed, supporting iterative and test-driven development approaches. Primary Value and Problem Solved: Sqitch addresses the complexities associated with database change management by providing a flexible, framework-independent solution that integrates seamlessly with version control systems. By allowing developers to use native SQL scripts and manage dependencies effectively, Sqitch ensures that database changes are deployed accurately and consistently. This reduces the risk of errors, enhances collaboration among development teams, and supports agile development practices, ultimately leading to more reliable and maintainable database systems.

Tonic Ephemeral is an ephemeral data environment solution that makes it cheap and easy to create isolated test and development databases to accelerate your engineering velocity. - Stop losing time provisioning and maintaining databases yourself. - Eliminate lag and wait-times in sourcing isolated datasets for development and testing environments with quick database copies. - Take advantage of our built-in expiration timers and other controls for cost savings. Equip your developers with the ready-to-go data they need to keep fast-paced projects on track by streamlining your data environments today.