ClickHouse Archives | ChistaDATA Inc.

ClickHouse Cloud FinOps: 12 metrics scorecard to stop overspending on ClickHouse Cloud

ClickHouse Cloud FinOps: A Board-Ready 12-Metric Scorecard to Stop Overspending

ClickHouse Cloud FinOps in twelve metrics: cost mix, allocation, utilization, scan efficiency, egress, storage and burn index, with tested SQL, Python and an operating rhythm.

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ClickHouse High Availability Architecture on 26.9: A Definitive 5-Layer Framework for Safe Failover

ChistaDATA Inc.

A ChistaDATA point of view on ClickHouse high availability architecture for 26.9: zone-level topology, Keeper quorum placement, zero-downtime rolling upgrades and measured disaster recovery outcomes.

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ClickHouse Observability at Scale: 7 Costly Schema Mistakes We Measured

ChistaDATA Inc.

ClickHouse observability at scale, measured on 20 million OpenTelemetry-style logs: sort keys, shaping at ingest, insert batching, materialized views, high cardinality and tiered log storage.

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ClickHouse High Availability on 26.9: 8 Brutal Failure Drills, Measured

ChistaDATA Inc.

ClickHouse high availability on 26.9, tested: we broke a three-replica cluster with ClickHouse Keeper eight ways and measured what survived, with the SQL and runbooks our ClickHouse support team uses.

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ClickHouse

ClickHouse Performance Observability: 9 Proven Signals We Trust in 26.9

ChistaDATA Inc.

ClickHouse performance observability on ClickHouse 26.9: nine system tables and endpoints, tested SQL, and a real Code 241 incident traced to one function.

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ClickHouse Cloud Cost: How Expensive Queries Become a Very Large Bill, Measured and Fixed

ChistaDATA Inc.

ChistaDATA · ClickHouse Cloud cost engineering · October 2026 ClickHouse Cloud cost is not set by how much data you store. It is set by how your queries are written and how often they run. […]

ClickHouse Query Execution Explained: 4 Proven Stages From INSERT to Distributed JOIN

ChistaDATA Inc.

ChistaDATA · ClickHouse query execution, stage by stage · September 2026 ClickHouse query execution has no magic in it. A statement is parsed and planned, parts are scanned in parallel, partial results are merged, and […]

Advanced ClickHouse Troubleshooting on 26.8 LTS: 9 Proven Techniques for Slow Queries, Stuck Merges and Memory Errors

ChistaDATA Inc.

The ClickHouse troubleshooting method ChistaDATA uses on 26.8 LTS and 26.9: nine techniques, the system tables behind each, the queries we run, and one disk-full incident from our own lab.

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ClickHouse 26.8 LTS feature map: cost-based optimizer, parallel GROUP BY, Parquet lazy materialisation, streaming HTTP API and background queries for real-time analytics

ClickHouse 26.8 LTS: The Advanced Features That Change Real-Time Analytics Performance

ChistaDATA Inc.

ChistaDATA · ClickHouse release engineering · September 2026 ClickHouse 26.8 LTS: The Advanced Features That Change Real-Time Analytics Performance ClickHouse 26.8 LTS shipped on 10 September 2026 with 98 new features, 128 performance optimisations and […]

ClickHouse workshop for CTOs and data architects: three-day agenda covering architecture and fit, measured cost, and migration and people decisions

Real-Time Analytics ClickHouse Workshop for CTOs and Data Architects

ChistaDATA Inc.

A three-day ClickHouse workshop for CTOs and data architects from ChistaDATA University: architecture fit, measured cost, rollup design and migration cutover, with real lab output.

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* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from ChistaDATA Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

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