The security paradox of local LLMs
Local LLMs prioritize privacy over security. Our research reveals a 95% backdoor injection success rate.
Jacek Migdal
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Quesma Blog
Insights on agentic coding tools, LLM evaluation, benchmarking, and simulation environments.
Stay tuned for future posts and releases
AI for coding is still playing Go, not StarCraft
AI excels at clean algorithms but fails at messy, real-world codebases. The solution lies not in Go-like intelligence, but StarCraft-like complexity.
Piotr Migdał
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Featured
CompileBench: Can AI Compile 22-year-old Code?
We tested 19 LLMs on their ability to handle real-world software engineering tasks like compiling old code and cross-compiling. See how Anthropic, OpenAI, and Google models stack up in our new benchmark – CompileBench.
Piotr Grabowski
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Tau² Benchmark: How a Prompt Rewrite Boosted GPT-5-mini by 22%
We expected small models to be fast, but our benchmarks revealed a common reliability trap. Here’s our deep dive on finding and fixing it.
Przemysław Hejman
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Featured
60-Second Linux Analysis - with Nix and LLMs
A one-line command to diagnose server health. Uses Nix to fetch tools without sudo and an LLM to summarize the output. No installation required.
Piotr Grabowski
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Tau²: From LLM Benchmark to Blueprint for Testing AI Agents
Deep dive into the Tau² benchmark that goes beyond LLM evaluation to reveal innovative methodologies for testing AI agentic systems in realistic scenarios. Learn how this framework can transform how we test AI-powered software.
Przemysław Hejman
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Observability in Go: What Real Engineers Are Saying in 2025
Learn how Go practitioners ship telemetry in 2025 – what works, what hurts, and the tools, workflows, and guardrails they rely on for metrics, traces, and logs.
Przemek Delewski
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Sandboxing AI-Generated Code: Why We Moved from WebR to AWS Lambda
Why we moved our AI chart generator from in-browser WebR (WASM) to AWS Lambda. A case study on the real-world trade-offs of running AI-generated R and ggplot2 code.
Piotr Migdał & Przemysław Hejman
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Claude Code + OpenTelemetry + Grafana: A guide to tracking usage and limits
Learn to monitor Claude Code costs, tokens, and latency in 5 minutes using its native OpenTelemetry support with Grafana Cloud.
Rafał Strzaliński
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Which chart would you swipe right?
Same dating data, 5 different charts: Do you prefer the academic journal, The Economist, a Redditor's take, or creating your own with AI?
Piotr Migdał & Cezary Piwowarczyk
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Featured
5 Grafana in Docker examples to get started with metrics, logs, and traces
Learn how to spin up Grafana in Docker in 5 real-world examples - Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiling.
Przemysław Hejman
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Featured
Building Grafana dashboards with AI, CLI and a bit of pragmatism
Discover a pragmatic approach to building Grafana dashboards more efficiently by combining the power of AI with the automation of a CLI workflow.
Piotr Migdał & Piotr Grabowski
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How does the Data Council conference keep finding future billion-dollar companies?
Data Council 2025 blended a unique Masonic temple venue with deep-tech talks. Discover insights from future billion-dollar companies before they make headlines.
Jacek Migdal
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Featured
Don't Let Apache Iceberg Sink Your Analytics: Practical Limitations in 2025
Apache Iceberg is a powerful open table format, but has practical limitations. Learn about its challenges with small data, metadata overhead, and real-time use cases.
Jacek Migdal
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Highlights from the Iceberg Summit 2025
Key insights from Iceberg Summit 2025 on Apache Iceberg's evolution, including Table Spec V3, PyIceberg, Go, and its central role in modern data lakehouses.
Przemek Delewski
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February 2025 Newsletter
February's tech roundup: ElasticON takeaways, Databricks' $10B funding, and IBM's DataStax buyout. We also dive into ClickHouse's price hike and AIOps failures.
Quesma Team
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Featured
Lessons from the pre-LLM AI in Observability: Anomaly Detection and AIOps vs P99
See how a decade of artificial intelligence hype missed the mark in tooling and learn statistical tricks insiders use to spot trouble faster than alert storms.
Jacek Migdal
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ClickHouse Cloud Pricing Change in January 2025: A Price Hike with Many Tweaks
We estimate a 30% price increase for a typical production workload. This article explains the complex pricing change announced on January 27, 2025, and provides a practical guide to what's changing.
Jacek Migdal
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January 2025 newsletter
Get the latest on Quesma's developments, including key product updates, our 2025 roadmap insights, and how AI is shaping the future of data analytics.
Quesma Team
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Team update
Quesma announces a leadership change as co-founder transitions to an advisory role, reaffirming the company’s mission and ongoing partnerships.
Jacek Migdal
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December 2024 newsletter
Explore Quesma's 2024 highlights, including team insights, event recaps, and industry updates on databases and analytics.
Quesma Team
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Quesma database gateway
Learn how Quesma is applying microservice principles to databases, creating a gateway that simplifies migrations, enhances security, and improves observability.
Pawel Brzoska
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November 2024 newsletter
Discover the latest from Quesma, including new product features , insights on current data management trends, and information on upcoming community events.
Quesma Team
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We are announcing our first public release at KubeCon!
Quesma unveils its first public release at KubeCon! Learn about its key features and how it will transform your data journey.
Pawel Brzoska
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Featured
The most successful open-source fork, worth $6B
Explore the history of Grafana, a successful Kibana fork. Learn how two multi-billion dollar companies emerged from one project to compete in observability.
Jacek Migdal
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October 2024 newsletter
Our first newsletter! Learn about Quesma's mission to revolutionize database architecture, our new partnership with Hydrolix, and our latest SQL invention.
Quesma Team
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Hydrolix and Quesma technical partnership announcement
Learn how Quesma and Hydrolix are partnering to cut log data costs. Use your existing Kibana dashboards with Hydrolix's cost-effective streaming data lake.
Jacek Migdal
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SQL from a Programming Language Perspective — Part II
Explore SQL as a declarative language. This article breaks down SQL operations into programming primitives and discusses syntax challenges and execution order.
Przemysław Delewski
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SQL from a Programming Language Perspective — Part I
Explore SQL as a programming language with its syntax, semantics, and type system. Part 1 of a series on SQL fundamentals.
Przemysław Delewski
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Featured
Understanding Elasticsearch Pricing
Navigate Elasticsearch's complex pricing with our guide. We cover subscription models, cloud vs. self-hosted options, and hidden costs to help you budget.
Antoni Olendzki & Przemysław Hejman
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Featured
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 three easy steps.
Quesma Team
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Featured
The pancake SQL pattern: combine your SQLs into one for 50x better performance.
Discover how Quesma merges multiple SQL statements to dramatically speed up your database queries for complex dashboards.
Jacek Migdal
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Schema migrations: pitfalls and risks
Learn how to overcome challenges in schema migrations and discover strategies for seamless, risk-free database updates.
Jacek Migdal
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The importance of design partners for product development
Explore how Quesma's design partner program accelerates building better tools through collaborative feedback, early access, and tailored support.
Antoni Olendzki
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Maximizing Elasticsearch's performance and cost efficiency
Maximize your Elasticsearch performance and cost efficiency. Our guide covers indexing, querying, resource management, and cost optimization for your deployments.
Antoni Olendzki
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What SQL could learn from Elasticsearch Query DSL
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.
Jacek Migdal
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How Quesma Can Help Kibana Users Reduce Elasticsearch Costs
Reduce your Elasticsearch costs without losing Kibana. Learn how Quesma's database gateway lets you switch to a cost-effective SQL database like ClickHouse.
Antoni Olendzki
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Elasticsearch and OpenSearch schema rough edges
Mapping issues, indexing challenges, schema management, and search engine pitfalls in Elasticsearch and OpenSearch
Jacek Migdal
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OpenSearch vs. Elasticsearch: A Fork in the Road
Explore the differences between OpenSearch and Elasticsearch. This article compares their features, licensing, and community support to help you choose the right one.
Pawel Brzoska
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Kibana vs. Grafana: Choosing the Right Data Visualization Tool
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.
Pawel Brzoska
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Kibana on Clickhouse data with Quesma - dashboarding
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.
Pawel Brzoska
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Kibana on Clickhouse data with Quesma - first working prototype
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.
Pawel Brzoska
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Full-text search X times faster: Inverted index vs. SQL OLAP
Discover why SQL OLAP databases can be 10x faster and more cost-effective for full-text search in observability than traditional inverted indexes.
Jacek Migdal
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Best tool for the job
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.
Pawel Brzoska
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Database monolith
Discover strategies to move beyond a database monolith, improving scalability and flexibility for your applications with modern data architectures.
Pawel Brzoska
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Challenges of change
Explore why database innovation remains challenging, from developer resistance to legacy system inertia, and how AI demands are reshaping data strategies.
Pawel Brzoska
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