---
title: "May 2026 newsletter"
description: "The May 2026 ClickHouse newsletter details enterprise observability migrations, ecosystem integrations, and core database enhancements. Digital banking platform Qonto migrated from Grafana Tempo to ClickHouse Cloud, compressing 231 TB of raw trace metadata to 376 GB while expanding query windows to two weeks and introducing an AI incident companion. Similarly, LINE MAN Wongnai consolidated multiple business clusters onto self-hosted ClickHouse, achieving 1.5 million rows per second peak ingest, 100% trace retention, and a 53% reduction in observability costs. Comparative log analytics benchmarks demonstrated that ClickHouse utilized 5x less disk space and achieved 4 to 6x faster cold query execution than Elasticsearch across 50 billion rows. Additional updates include the ClickHouse 26.4 release featuring improved SQL compatibility, new agent telemetry adapters in Mastra, and SQL-based alerting capabilities in ClickStack."
---

# May 2026 newsletter

[Clickhouse](https://yomu.fyi/company/clickhouse) · Mark Needham · May 21, 2026

**Type:** Announcement

## Summary

The May 2026 ClickHouse newsletter details enterprise observability migrations, ecosystem integrations, and core database enhancements. Digital banking platform Qonto migrated from Grafana Tempo to ClickHouse Cloud, compressing 231 TB of raw trace metadata to 376 GB while expanding query windows to two weeks and introducing an AI incident companion. Similarly, LINE MAN Wongnai consolidated multiple business clusters onto self-hosted ClickHouse, achieving 1.5 million rows per second peak ingest, 100% trace retention, and a 53% reduction in observability costs. Comparative log analytics benchmarks demonstrated that ClickHouse utilized 5x less disk space and achieved 4 to 6x faster cold query execution than Elasticsearch across 50 billion rows. Additional updates include the ClickHouse 26.4 release featuring improved SQL compatibility, new agent telemetry adapters in Mastra, and SQL-based alerting capabilities in ClickStack.

## Context

Organizations face scaling limits, high storage footprints, and sampling trade-offs when operating legacy tracing setups and search-oriented tools like Grafana Tempo and Elasticsearch.

## Approach / What changed

Teams migrated observability workloads to ClickHouse and ClickHouse Cloud, utilizing columnar compression, materialized views, Kafka engine tables, and SQL-based querying to support unsampled high-throughput telemetry.

## Takeaways

- Qonto compressed 231 TB of uncompressed trace metadata to 376 GB on disk using ClickHouse Cloud, extending query windows from hours to two weeks without sampling.
- In log analytics benchmarks on 50 billion rows, ClickHouse used 5x less disk space and executed cold queries 4x to 6x faster than Elasticsearch.
- LINE MAN Wongnai sustained peak ingest of 1.5 million rows per second across three business clusters on self-hosted ClickHouse, reducing observability costs by 53%.

**Tags:** [Elasticsearch](https://yomu.fyi/topic/elasticsearch), [Kafka](https://yomu.fyi/topic/kafka), [Observability](https://yomu.fyi/topic/observability), [Performance](https://yomu.fyi/topic/performance), [Scalability](https://yomu.fyi/topic/scalability)

- Source: [Clickhouse](https://clickhouse.com/blog/202605-newsletter)
- Source URL: https://clickhouse.com/blog/202605-newsletter
- Ingested by Yomu: 2026-08-28T01:26:17.478Z

[Read original post](https://clickhouse.com/blog/202605-newsletter)