ClickHouse Horizontal Scaling Archives

ClickHouse 26.8 LTS: 7 Essential Performance and HA Changes

ClickHouse 26.8 LTS read for production: adaptive aggregation, IEJoin, plan-based parallel replicas, Keeper on disk, always_fetch_mutated_part, and the 26.3 to 26.8 breaking-change checklist for self-managed and Cloud.

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ClickHouse Sharding Troubleshooting and Performance Optimization

ChistaDATA Inc.

A field guide to ClickHouse sharding troubleshooting: Distributed send-queue backlogs, duplicate rows from internal_replication, shard skew, initiator merge bottlenecks, distributed JOIN failures and unavailable shards, each with the system.* evidence, the mechanism, the staged fix, and the alert that catches it early.

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ClickHouse sharding architecture showing distributed database nodes with multiple shards for high-growth environments

ClickHouse Sharding Strategies for High-Growth Environments

ChistaDATA Inc.

ClickHouse sharding is one of the most consequential architectural decisions you will make when scaling an analytical database from millions to billions of rows per day. In a high-growth environment — where query volumes double […]

Scaling ClickHouse from Gigabytes to Petabytes: A Practical Playbook

ChistaDATA Inc.

Most teams don’t run into ClickHouse scaling challenges when they’re managing a few hundred gigabytes. The problems surface the moment data volumes cross a threshold where naive configurations begin to crack — queries slow down, […]

Transforming Your Data in a Managed ClickHouse® Cluster with dbt

Shiv Iyer

Transforming Your Data in a Managed ClickHouse® Cluster with dbt: A Complete Guide Introduction In today’s data-driven landscape, organizations are constantly seeking efficient ways to transform raw data into actionable insights. The combination of ClickHouse®, […]

Building Fast Data Loops in ClickHouse®

ChistaDATA Inc.

Building Fast Data Loops in ClickHouse: From Insert to Query Response in ClickHouse® In today’s data-driven world, the speed at which you can ingest, process, and query data determines your competitive advantage. ClickHouse® excels at […]

Data Compression in ClickHouse for Performance and Scalability

ChistaDATA Inc.

Implementing Data Compression in ClickHouse: A Complete Guide to Optimal Performance and Scalability Introduction Data compression in ClickHouse is a critical optimization technique that can dramatically improve query performance, reduce storage costs, and enhance overall […]

How do we implement intelligent Caching on ClickHouse with machine learning?

Shiv Iyer

Introduction: Intelligent Caching Implementing intelligent caching with machine learning in a ClickHouse environment involves predicting data access patterns and optimizing cache usage based on these predictions. This approach helps to ensure that the most frequently […]

ClickHouse Data Ingestion: Built for High-Velocity, High-Volume Data

Shiv Iyer

ClickHouse Is Ideal for High-Velocity ClickHouse is particularly well-suited for projects that require high-velocity, high-volume data ingestion and real-time analytics, primarily due to its specialised architecture and distinct features. Its columnar storage model plays a […]

Enhancing ClickHouse Query Efficiency: The Power of Materialized Columns in Practice

Shiv Iyer

Introduction Incorporating materialized columns into ClickHouse for managing complex filtering conditions represents a strategic optimization that significantly boosts database performance. This technique revolves around pre-calculating and storing the results of expressions directly within the table, […]

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