The JusDB Database Engineering Blog
Deep dives on PostgreSQL, MySQL, MongoDB and more — performance tuning, high availability, migrations and production war stories from our DBAs.
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ClickHouse Explained (2026): MergeTree, Distributed Engine & Real-Time OLAP
Build blazing-fast analytics with ClickHouse columnar database. Learn MergeTree engine, data modeling, query optimization, and cluster deployment strategies.
Real-Time Analytics Pipeline: PostgreSQL to ClickHouse via CDC
Build a real-time analytics pipeline from PostgreSQL to ClickHouse using CDC — architecture, latency, and schema mapping
ClickHouse MergeTree Engine: Storage Architecture and Query Optimization
ClickHouse MergeTree is why ClickHouse queries 1 billion rows in 0.3 seconds. Learn how parts, merges, and sparse indexes work, and how to choose the ORDER BY key, secondary indexes, and MergeTree variants.
ClickHouse Cloud vs Self-Hosted: Total Cost of Ownership in 2025
ClickHouse Cloud is convenient but can cost 3-5x more than a well-tuned self-hosted cluster at scale. This breakdown shows exactly where the cost lines cross.
ClickHouse vs BigQuery: Analytical Database Comparison for 2026
A detailed comparison of ClickHouse and BigQuery for analytical workloads — MergeTree engine vs Capacitor storage, self-hosted vs serverless cost models, query latency, real-time ingestion, and when to choose each.
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