Question: Can you recommend a low-latency data store for short-lived data that's easy to implement and integrate with my existing architecture?

If you're looking for a low-latency data store for short-lived data that's easy to get up and running and integrate with your existing architecture, Momento is a great option. It's got a serverless foundation with Momento Cache, a low-latency store for transient data, and Momento Topics for real-time messaging. The service scales instantly, is reliable and secure, and is good for use cases like AI-generated SMS, in-game chat and caching APIs.

Another good option is Estuary, a real-time data integration service that's good for low-latency data ingestion and streaming pipelines. It's got 100+ no-code connectors, stream-store-replay for storing and replaying data, and materialization for loading data into destinations. Estuary is good for data operations that need to be fast and flexible, and it's got a free tier.

If you want a service that can handle both transactional and analytical data in one engine, check out SingleStore. This real-time data platform can handle petabyte-scale data sets with millisecond query performance and supports multiple data models like JSON, time-series and geospatial data. It's good for intelligent applications like generative AI and real-time analytics, and it's got flexible pricing with a free tier.

Last, Xata is a serverless data platform based on PostgreSQL, so it's a natural fit for developers who already know that database. It's got serverless Postgres, zero-downtime schema migrations, file storage and AI integration. Xata supports frameworks and tools like Astro, Next.js and Python, and it's got a pretty generous free tier for small projects.