While Cloud Data warehouses such as Redshift, BigQuery, and Snowflake solved the scalability and manageability pains of traditional data warehouses, when companies try to deliver customer-facing analytical applications, they still face enormous technical challenges:
- Ingesting fast enough to keep the data fresh
- Executing sub-second queries that users expect
- Scaling to serve queries from thousands of end-users
Don’t leave your analytical applications gasping for fresh data or struggling to deliver low latency queries with high concurrency.