ClickHouse Engineering Archives

Lakehouse ClickHouse With 3 Signed SLOs: Proven DAPE Platform

Lakehouse ClickHouse sold as an engineered platform: ChistaDATA DAPE signs SLOs for freshness across tiers, p95/p99 per tier and query class, and a measured cost curve — commitments that neither software-plus-support nor cloud-consumption contracts carry. With SQL, storage-policy config, and diagrams.

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ClickHouse 26.x in production: QBit vectors, text index GA, and Iceberg writes

ClickHouse 26.x in Production: QBit Vectors, Text Index, and Iceberg Writes

ChistaDATA Inc.

ClickHouse 26.x ships monthly on calendar versioning (YY.MM), and the ClickHouse 26.x line has been the most consequential run of releases since the project went commercial. As of August 2026, the latest stable is v26.7.3.19 […]

ClickHouse BYOC with ChistaDATA: The Complete 2026 Architecture Guide

ChistaDATA Inc.

ClickHouse BYOC (Bring Your Own Cloud) is a deployment model in which the entire ClickHouse® data plane runs inside your cloud account and your VPC, while ChistaDATA operates, tunes, secures and supports that cluster through […]

ClickHouse MergeTree Optimization: Sort Keys, Partitioning, Skip Indexes, and Projections

ChistaDATA Inc.

ClickHouse MergeTree optimization is the difference between a table that answers analytical queries in milliseconds and one that scans hundreds of gigabytes for every request. This guide is written for senior engineers who already understand […]

20 Things You Should Not Do With ClickHouse Which Will Destroy ClickHouse Performance

ChistaDATA Inc.

ClickHouse is one of the fastest open source columnar databases for real-time analytics, and it powers observability platforms, product analytics, and large-scale reporting workloads across the industry. Yet raw speed can be deceptive. Many teams […]

multi-region ClickHouse deployment architecture showing distributed cluster replication : Sharding and Resharding Strategies

Designing Multi-Region ClickHouse Deployments for Global Scale: 3 Best Patterns

ChistaDATA Inc.

ClickHouse multi-region deployment is one of the most architecturally demanding problems in distributed analytics. When your users span three continents, a single-region cluster becomes a latency ceiling, a compliance liability, and a single point of […]

ClickHouse Performance Pitfalls: 7 Mistakes That Slow Down Your Queries and How to Fix Them

ChistaDATA Inc.

ClickHouse has earned a well-deserved reputation as one of the fastest analytical databases available today. Its columnar storage, vectorized query execution, and aggressive compression make it a natural choice for teams dealing with hundreds of […]

ClickHouse Primary Index Design: Parts, Partitions and Granules

ChistaDATA Inc.

A practitioner’s deep dive into MergeTree internals — parts, partitions, granules, and primary index design — from the ChistaDATA engineering team.

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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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