Question: Can you recommend a platform for building real-time data products with low latency and high concurrency?

For low-latency, high-concurrency data products where you need to build something in real time, Tinybird is a great option. The service lets data teams rapidly create and deploy data products that ingest millions of rows per second in real time. Its SQL-based API endpoints and support for data from multiple sources means you can query and publish data as needed. It's built on ClickHouse, a high-performance query technology good for things like user-facing analytics and real-time personalization.

Another top contender is SingleStore, a real-time data platform geared for high-throughput streaming data ingestion and millisecond query performance. It supports multiple data models and combines the performance of columnstore and rowstore databases. That means it's good for applications that need to read, write and reason on petabyte-scale data sets as fast as possible. SingleStore offers flexible scaling and a cloud-based option, SingleStore Helios, that offers elastic scaling and high availability.

Estuary is a real-time data integration platform geared for low-latency and high-concurrency data pipelines. It's got 100+ no-code connectors for capturing data and automated pipelines with sub-100ms end-to-end latency. That makes it a good fit for agile DataOps environments where data processing speed is paramount. Estuary's flexible materializations and schema evolution means you can trust data management and integration.

If you want to go more serverless, check out Momento. The service offers Momento Cache for low-latency data storage and Momento Topics for real-time event bus communications. It's got instant scalability, reliability and security, which is good for applications that need immediate performance and reliability. Momento's pay-as-you-go pricing means you only pay for what you use and can scale up and down as needed.