materialized views Archives

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 · 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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Real-Time Payments Analytics on ClickHouse: 6 Proven Layers for Southeast Asia

ChistaDATA Inc.

A reference model for real-time payments analytics on ClickHouse with the Apache stack (Kafka, Flink, Iceberg, Spark, Airflow, Superset) for a high-volume Southeast Asian mobile payment platform: schema, ingestion, serving, residency and operations.

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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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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 […]

Why ClickHouse is so fast — MergeTree read path and query execution design

Why ClickHouse Is So Fast: 7 Design Choices, Measured on 1 Billion Rows

ChistaDATA Inc.

ChistaDATA · ClickHouse internals, measured on 1,000,000,000 rows · re-checked on 26.8 LTS Why ClickHouse is so fast is best answered with a number: on a two-core machine with 7 GB of memory, it averaged […]