Question: Can you suggest a cloud database platform that supports multiple data access patterns, including key-value and SQL?

If you're in the market for a cloud database platform that accommodates multiple data access methods, including key-value and SQL, Couchbase is a good option. It's a NoSQL cloud database that offers a high-performance memory-first architecture along with support for multiple data access methods, including key-value, JSON, SQL, text and vector search. Couchbase also includes AI-assisted coding and an integrated developer portal with documentation and tutorials, making it a good option for modern, user-focused applications.

Another good option is SingleStore, a real-time data platform geared for intelligent applications. It accommodates multiple data models, including JSON, time-series, vector and full-text search, and unifies transactional and analytical data in one engine. SingleStore also offers high-throughput streaming data ingestion and millisecond query performance, making it a good option for real-time analytics and SaaS applications.

If you're looking for a PostgreSQL-based option, Supabase is worth a look. It's a Postgres database with built-in user authentication, real-time data synchronization and vector embeddings for machine learning integration. Supabase supports frameworks like Next.js and Flutter and comes with a data management dashboard with an SQL editor, so it's a good option for building production-ready apps.

Last, Xata is a serverless data platform built on PostgreSQL designed to be easily integrated into developers' existing workflows. It includes features like serverless Postgres, full-text search with Elasticsearch and AI integration, along with free tiers and flexible pricing. Xata supports a broad range of frameworks and tools, so it's a good option for scalable and collaborative data management.