Outgrowing Postgres: how to evaluate the right OLAP solution

The text discusses the challenges and considerations involved in migrating analytical workloads from PostgreSQL to real-time OLAP databases. It highlights the limitations of traditional data warehouses like Snowflake and BigQuery for handling high-concurrency and low-latency requirements, suggesting newer cloud data warehouses like Firebolt or real-time OLAP solutions such as StarRocks, DuckDB, and Doris as potential alternatives. The document outlines key evaluation criteria, including performance and scalability, SQL compatibility, developer experience, and integration capabilities. It stresses the importance of assessing non-negotiable requirements, data freshness needs, development velocity, and migration efforts when choosing a new system. The text also mentions the benefits of using Tinybird for real-time data analytics, offering it as a solution optimized for low-latency, high-concurrency workloads, and highlights the importance of building a cohesive OLTP and OLAP stack for efficient data processing.