Amazon RDS
A distributed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud.
A distributed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud.
The fully managed cloud database for modern applications, built by the creators of MongoDB.
A fully managed relational database service for MySQL, PostgreSQL, and SQL Server.
A fully managed platform as a service database engine that handles most database management functions.
A cloud data platform that enables data warehousing, data lakes, data engineering, and data science.
An in-memory data platform used as a database, cache, message broker, and streaming engine.
A distributed SQL database designed to build resilient, scalable cloud services.
A cloud database that uses machine learning to automate database tuning, security, and backups.
A serverless, scalable MySQL database platform built on Vitess.
A multi-cloud serverless database built on Apache Cassandra.
Positions 1, 2 and 3 are available to buy for twelve months. Everyone below moves down a place, and the bottom entry comes off.
Relational databases store data in structured tables with rows and columns, enforcing strict schemas, whereas non-relational databases use flexible formats like documents, key-value pairs, or graphs to handle unstructured or semi-structured data.
Yes, managed database platforms save significant engineering time by automating routine maintenance, backups, security patches, and scaling, allowing teams to focus on application development rather than server administration.
Single-cloud databases offer deeper integration with a specific provider's ecosystem, while multi-cloud databases prevent vendor lock-in and provide greater resilience by distributing workloads across different cloud providers.
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