How TimescaleDB Outperforms ClickHouse and MongoDB for LogTide's Observability Platform

LogTide is an open-source log management and SIEM platform developed by Giuseppe Pollio to provide affordable log observability for small agencies and home labs, which often cannot afford enterprise-level tools like Datadog and Splunk. Launched in early 2026, LogTide handles five million logs per day in its cloud alpha using minimal hardware, thanks to its efficient architecture and the use of TimescaleDB, chosen for its high ingest capabilities and compatibility with PostgreSQL. The platform's architecture simplifies log ingestion and processing by using a single endpoint and a Redis-backed job queue, while TimescaleDB supports efficient storage and query operations through hypertables and continuous aggregates. This setup allows LogTide to compress 220GB of raw log data down to 25GB, providing fast query results and minimal RAM usage, making it suitable for environments with limited resources. LogTide's performance benchmarks demonstrate its superiority over MongoDB and ClickHouse in processing and querying log data, reinforcing its value as a low-cost alternative for developers seeking robust observability solutions without heavy infrastructure demands.

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