Best database for real time analytics in 2025 and how to choose

The text discusses the challenges and solutions related to selecting databases for real-time analytics, emphasizing that traditional databases like Postgres, MySQL, and MongoDB are not designed for such tasks due to limitations in handling real-time data ingestion, complex joins, and concurrent queries. It highlights the strengths of specialized databases such as ClickHouse®, Apache Druid, and Apache Pinot, which are built for real-time analytics and excel in high data freshness, low query latency, and high concurrency. The text also mentions how general-purpose databases can be optimized for "almost real-time" analytics through strategic tuning, separating analytics roles, and using replication for read-heavy workloads. Additionally, it introduces modern alternatives like RisingWave and Materialize, which offer unique features such as SQL compatibility and strong consistency. Ultimately, the text underscores the importance of choosing a database that not only provides speed but also enhances development efficiency, with options like Tinybird offering managed solutions to simplify deployment and maintenance while leveraging the performance of open-source ClickHouse®.