Excitement over DuckLake, but momentum is with Iceberg as players at AWS, Snowflake weigh in It's been a year since Databricks bought Tabular for $1 billion, livening up the sleepy world of table ...

DuckDB is designed for column-oriented data querying. It ingests data from sources like CSV, JSON, and Apache Parquet, and enables fast querying using familiar SQL syntax. DuckDB supports ...

In a twist, [Patrick Trainer] had the idea to use SQL instead of JS to do the heavy lifting of the Doom game loop. Backed by the Web ASM version of the analytical DuckDB database software ...

The next characteristic of DuckDB is allegiance to good old SQL. While the NoSQL movement is still going strong and many people want to use Python and dataframes to query data, Mühleisen and his crew ...

The promise of DuckDB is that as an in-process SQL-compatible analytics process database, developers will get the benefits of an analytics database without the complexity of managing it.

The UI is implemented via a DuckDB extension that embeds a localhost ... The UI provides interactive notebooks for defining SQL scripts and displaying the results of queries, which also offer ...

Collaboration with Hydra and DuckDB Labs can provide dramatic performance improvements for analytical queries in PostgreSQL "PostgreSQL excels at transactional workloads but wasn't specifically ...

TigerEye, the AI-powered planning and revenue management platform, is debuting the open source release of DuckDB.dart, the native Dart API for DuckDB. This release not only streamlines the creation of ...

A few weeks ago, it was reported that MotherDuck, the company commercializing the lightweight database platform DuckDB, was in talks to raise new capital from VC firm Felicis. Those talks went ...