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How to ingest 1B rows/s in ClickHouse
NeutralTechnology
This article discusses techniques for ingesting one billion rows per second in ClickHouse, a columnar database management system. It explores performance optimization strategies and scalability challenges.
Editor’s Note: Understanding how to efficiently handle massive data ingestion is crucial for businesses that rely on real-time analytics. This knowledge can help improve data processing capabilities and inform decisions on infrastructure investments.
PG Auto Upgrade – Docker (and K8s) container to auto upgrade your database
PositiveTechnology
PG Auto Upgrade is a new tool that automates the process of upgrading your database using Docker and Kubernetes containers.
Editor’s Note: This development is significant as it simplifies database management, making it easier for developers to ensure their systems are up-to-date and secure.
Two sizes fit most: PostgreSQL and ClickHouse
NeutralTechnology
The article discusses the compatibility and performance of PostgreSQL and ClickHouse databases, highlighting their respective strengths.
Editor’s Note: Understanding the differences between PostgreSQL and ClickHouse is crucial for developers and businesses choosing the right database for their needs. This comparison can help inform decisions on data management and analytics.

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