Getting started with Quesma in 3 simple steps
Launch Quesma in minutes to run Kibana dashboards on ClickHouse. This guide walks you through installation, configuration, and your first project in just 3 easy steps.
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Subscribe via RSSLaunch Quesma in minutes to run Kibana dashboards on ClickHouse. This guide walks you through installation, configuration, and your first project in just 3 easy steps.
Discover how Quesma merges multiple SQL statements to dramatically speed up your database queries for complex dashboards.
Learn how to overcome challenges in schema migrations and discover strategies for seamless, risk-free database updates.
Explore how Quesma’s design partner program accelerates building better tools through collaborative feedback, early access, and tailored support.
Maximize your Elasticsearch performance and cost efficiency. Our guide covers indexing, querying, resource management, and cost optimization for your deployments.
Discover what SQL can learn from Elasticsearch Query DSL. This article explores the strengths of Query DSL, such as flexible search, sane defaults, and composability.
Reduce your Elasticsearch costs without losing Kibana. Learn how Quesma’s database gateway lets you switch to a cost-effective SQL database like ClickHouse.

Mapping issues, indexing challenges, schema management, and search engine pitfalls in Elasticsearch and OpenSearch
Explore the differences between OpenSearch and Elasticsearch. This article compares their features, licensing, and community support to help you choose the right one.
Choosing between Kibana and Grafana? Our guide compares their core functionality, data source support, and ideal use cases to help you pick the right tool.
Unlock the power of SQL on your ClickHouse data directly within Kibana. See our demo on how to build charts and integrate them into your dashboards seamlessly.
See our first working prototype of the Quesma translation gateway. Connect Kibana to ClickHouse and explore your logs with the tools you already love to use.
Discover why SQL OLAP databases can be 10x faster and more cost-effective for full-text search in observability than traditional inverted indexes.
We look into how the goal of ‘best tool for the job’ thinking can often lead to over-engineering. Learn when a simple solution might be better than the most elegant one.
Discover strategies to move beyond a database monolith, improving scalability and flexibility for your applications with modern data architectures.