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How Shipsidekick replaced Neon with ClickHouse Managed Postgres for 10x faster queries and better reliability

Shipsidekick moved from Neon to ClickHouse Managed Postgres in a single weekend, cutting CPU usage from 100% to 5-10% and making queries about 10x faster.

ClickHouse

Oct 23, 2026 · 12 minutos de leitura

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Engineering

Vector Search with ClickHouse - Part 2

Dale McDiarmid · May 31, 2023

Engineering

Vector Search with ClickHouse - Part 1

Dale McDiarmid · May 31, 2023

Engineering

ClickHouse Joins Under the Hood - Full Sorting Merge Join, Partial Merge Join - MergingSortedTransform

Tom Schreiber · May 24, 2023

Engineering

IP-based Geolocation in ClickHouse

Zach Naimon · May 23, 2023

Engineering

Hash tables in ClickHouse and C++ Zero-cost Abstractions

Maksim Kita · May 16, 2023

Engineering

Adding Real Time Analytics to a Supabase Application With ClickHouse

Dale McDiarmid · May 15, 2023

Engineering

Deploying ClickHouse: Examples from Support Services

Tony Bonuccelli · May 2, 2023

Engineering

A Deep Dive into Apache Parquet with ClickHouse - Part 2

Dale McDiarmid · Apr 26, 2023

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Engineering

ClickHouse Joins Under the Hood - Hash Join, Parallel Hash Join, Grace Hash Join

Tom Schreiber · Apr 20, 2023

Engineering

A Deep Dive into Apache Parquet with ClickHouse - Part 1

Dale McDiarmid · Apr 18, 2023

Engineering

ClickHouse Release 23.3

ClickHouse · Apr 13, 2023

Engineering

Speeding up LZ4 in ClickHouse

Alexey Milovidov · Apr 12, 2023

Engineering

Building Real-time Analytics Apps with ClickHouse and Hex

Dale McDiarmid · Apr 7, 2023

Engineering

Building an Observability Solution with ClickHouse - Part 2 - Traces

Dale McDiarmid · Mar 29, 2023

Engineering

Optimizing Analytical Workloads: Comparing Redshift vs ClickHouse

Dale McDiarmid · Mar 23, 2023

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