ClickHouse ® + Elasticsearch — 3 Ways to Connect in 2026
Blog post from Tinybird
The integration of ClickHouse® with Elasticsearch provides a robust solution for teams seeking efficient analytics on Elasticsearch data without burdening Elasticsearch's performance. Three primary methods facilitate this integration: using Tinybird for minimal operations and real-time dashboards with built-in API layers, employing ClickHouse® Cloud with ClickPipes for those already utilizing Kafka and Logstash, and opting for self-managed setups for teams desiring complete control. These methods leverage Logstash pipelines and Kafka bridges to transfer data into ClickHouse®, allowing for powerful columnar analytics. The choice of method depends on factors such as operational capacity, API needs, cost, and data freshness requirements. ClickHouse®'s columnar storage offers significant compression and speed advantages over Elasticsearch's inverted-index model, making it particularly effective for long-retention log analytics and large-scale aggregations. Tinybird emerges as a favorable option for teams needing rapid, API-exposed analytics without managing ClickHouse® infrastructure.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 11 | 13,979 | 3,441 | 296 | +113% |
| Observability | 3 | 4,660 | 984 | 209 | +14% |
| Data Pipeline | 1 | 1,290 | 393 | 99 | +171% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.