Google Cloud SQL
Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety.
Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes.
Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.
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Windocks
Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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Amazon RDS
Amazon Relational Database Service (Amazon RDS) simplifies the process of establishing, managing, and scaling a relational database in the cloud. It offers a cost-effective and adjustable capacity while taking care of tedious administrative tasks such as hardware provisioning, setting up databases, applying patches, and performing backups. This allows you to concentrate on your applications, ensuring they achieve fast performance, high availability, security, and compatibility. Amazon RDS supports various database instance types optimized for memory, performance, or I/O, and offers a selection of six well-known database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. Additionally, the AWS Database Migration Service facilitates the seamless migration or replication of your existing databases to Amazon RDS, making the transition straightforward and efficient. Overall, Amazon RDS empowers businesses to leverage robust database solutions without the burden of complex management tasks.
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Sqitch
Effective change management for databases in a framework-agnostic development environment ensures reliable deployments. What distinguishes Sqitch from other database migration tools is its independence from any specific framework or ORM. It provides users with binary and source code downloads, along with comprehensive installation guides. Additionally, it includes command references, tutorials, and best practice resources. Those looking for assistance can find support through issue trackers, mailing lists, and the source repository. Unlike many other tools, Sqitch operates independently of frameworks, ORMs, or platforms, functioning as a self-sufficient change management solution without bias toward any particular database engine, application framework, or development setup. It allows database changes to specify dependencies on other modifications, including those from unrelated Sqitch projects, which ensures that execution is carried out in the correct sequence even if changes were committed out of order in version control systems. The management of changes and their dependencies is handled through a plan file, utilizing a Merkle tree structure akin to Git and Blockchain to maintain the integrity of deployments. This design eliminates the necessity of numbering changes, though users have the option to do so if they choose. Furthermore, Sqitch's flexibility and robust features make it an excellent choice for developers seeking a reliable migration framework.
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