Chapters
- 01 GCP BigQuery Pricing 2026: The Real Cost GuideHow BigQuery pricing works: on-demand versus edition slots, hidden costs from streaming, storage and exports, a comparison with Athena, and cost cuts.
- 02 GCP Dataflow vs Dataproc: The Real-World Decision GuideGCP Dataflow versus Dataproc: managed Beam streaming against managed Spark, cost, control, existing code, ML workloads, hybrid use and team skills.
- 03 is clickhouse completely free? The honest answer in 2026Is ClickHouse completely free? What the open-source edition covers, where ClickHouse Cloud adds cost, hidden operating costs, and when free is enough.
- 04 ClickHouse vs PostgreSQL JSONB Performance 2026: What Actually MattersClickHouse or PostgreSQL JSONB for JSON-heavy analytics? Compares how each stores and queries JSON, where each wins, and a framework for choosing.
- 05 PostgreSQL to ClickHouse Migration Tool: 2026 Buyer's GuideHow to choose a PostgreSQL to ClickHouse migration tool: why the models differ, tools compared, and what to check on latency, volume, schema and backfill.
- 06 What is ClickHouse Used For? A Practitioner's Guide to Real-Time Analytics at ScaleWhat ClickHouse is used for: real-time analytics, observability, time series. Covers pipeline patterns, materialized views, memory, replication, indexes.
- 07 Temporal tables vs Slowly Changing Dimensions: The Real Data History ProblemTemporal tables or slowly changing dimensions for tracking data history? How they differ, how to combine them, and how to handle out-of-order Kafka events.
- 08 ClickHouse vs PostgreSQL Performance Benchmark 2026ClickHouse or PostgreSQL for analytics? Compares columnar and row storage, Postgres extensions, updates, latency, vector search and benchmark method.
- 09 Bitemporal Data Modeling ExplainedWhat bitemporal modeling is: tracking valid time and system time together. Covers retroactive corrections, SQL patterns, and when valid time is enough.
- 10 What Is GCP Used For in Data Analytics? A Practical GuideWhat Google Cloud is used for in data analytics: BigQuery beyond warehousing, streaming and batch pipelines, and how GCP differs from AWS and Azure.
- 11 is clickhouse better than snowflake? A Practitioner's Honest TakeClickHouse or Snowflake? Compares architecture, query speed, concurrency and pricing, says when to pick each, and covers migration and hybrid setups.
- 12 GCP Data Warehouse Pricing 2026: The Real Cost of BigQuery, Dataproc, and SpannerWhat drives GCP data warehouse bills: BigQuery on-demand versus slot commitments, storage, Dataproc and Spanner, hidden transfer costs and savings.
- 13 Postgresql for Analytics vs ClickHouse: A Data Engineer's Buying GuidePostgreSQL or ClickHouse for analytics? Row versus column storage, where each wins, real-time use cases, schema design, cost and a migration playbook.