Blog:Unlock Powerful ClickHouse Insights – ChistaDATA’s Expert Analytics Blog

ClickHouse certification and competency ladder at ChistaDATA University: CHT-100 to CHT-300 core levels, CHT-400 and CHT-500 specialist programmes, CHT-900 executive track, and the three certification tiers

ClickHouse Certification at ChistaDATA University: 3 Proven Tiers

How ChistaDATA University builds ClickHouse certification on a competency ladder: CHT-100 to CHT-900 programmes, real lab code, failure drills, a live-cluster capstone defence, corporate and academic delivery, and how to start.

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Real-Time Analytics on ClickHouse 26.8: 6 Proven Levers

ChistaDATA Inc.

Real-time analytics on ClickHouse 26.8: the ingest-to-dashboard latency budget, async-insert freshness, top-K and cache serving, lightweight UPDATE, and ingest/serving isolation on self-managed clusters versus ClickHouse Cloud.

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ClickHouse 26.8 LTS: 7 Essential Performance and HA Changes

ChistaDATA Inc.

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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Real-Time Analytics for Consumer Goods: 4 Proven ClickHouse + Kafka Patterns

ChistaDATA Inc.

Real-time analytics for consumer goods is now a two-component problem: Apache Kafka 4.3 as the event backbone and ClickHouse 26.8 LTS as the serving engine. This paper is the design we put in front of […]

ClickHouse 26.8 LTS: What’s New for Real-Time Analytics (Tested)

ChistaDATA Inc.

ClickHouse 26.8 shipped on 27 August 2026 as the second LTS line of the year, and two days later the 25.8 LTS line dropped out of support. If you run 25.8 in production, you are […]

ClickHouse TTL: How Deletes Are Scheduled and 6 Reasons They Fail

ChistaDATA Inc.

A ClickHouse TTL clause is not a delete queue. There is no background reaper walking rows and checking expiry timestamps. A TTL expression on a MergeTree table is a promise that expired rows will be […]

ClickHouse Partition Pruning vs Primary Key: 3 Proven Gates

ChistaDATA Inc.

ClickHouse partition pruning and primary-key pruning are two different mechanisms that happen to show up on the same summary line of the server log, which is why so many people treat them as one thing. […]

Lakehouse ClickHouse With 3 Signed SLOs: Proven DAPE Platform

ChistaDATA Inc.

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 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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Elasticsearch to ClickHouse for Logs and Observability: When and How to Switch

ChistaDATA Inc.

Elasticsearch to ClickHouse is the migration we scope most often in observability engagements, and the reason is rarely a feature gap — it is an economics gap. Elasticsearch became the default log store the way […]