Inside pg_duckdb: From PostgreSQL Heap Rows to DuckDB Vectors
pg_duckdb embeds DuckDB's vectorised analytical engine inside a PostgreSQL backend. It can accelerate aggregation- and join-heavy queries without exporting PostgreSQL…
pg_duckdb embeds DuckDB's vectorised analytical engine inside a PostgreSQL backend. It can accelerate aggregation- and join-heavy queries without exporting PostgreSQL…
Part 5 of the Apache Kafka series An order is committed in PostgreSQL. The application then tries to publish an…
Part 4 of the Apache Kafka Series In the previous three parts of this series, we covered why Apache Kafka…
In our previous articles, we explored why Apache Kafka exists and how its architecture is structured. In this third part,…
Modern digital systems generate unprecedented volumes of data. Users expect instant responses, and modern applications must react in real time.…
Graph databases have evolved from niche technologies into essential components of modern data platforms. While Neo4j remains the most recognisable…
A theoretical introduction Analytic functions (often referred to as window functions) are a cornerstone of modern SQL and data processing.…
Explore the top databases 2024, including Oracle, MySQL, SQL Server and PostgreSQL and understand their importance and unique features.
Discover the efficiency of Oracle Database 23ai staging tables. They reduce UNDO and enhance performance in ETL processes, making them superior to traditional heap tables.
Ensure a seamless installation of Dremio on AWS with our guide for optimal performance and analysis.