Queryzy now leverages DuckDB

Introduction

DuckDB is a high-performance, in-memory analytical database. It's designed to handle large datasets and complex queries efficiently. As an in-process database, it's embedded directly into your application, eliminating the overhead of network communication. DuckDB supports a rich SQL dialect, making it easy for data analysts and scientists to work with. Its columnar storage format and vectorized query execution engine optimize performance for analytical workloads. DuckDB is a popular choice for data exploration, prototyping, and production use cases where speed and efficiency are critical.Queryzy is now leveraging DuckDB!

1. Your data is confidential

DuckDB 's in-browser execution via WebAssembly ensures data security.
By running directly within the browser, data remains confined to the user's device. This eliminates the risk of data exposure during transmission over networks. Additionally, WebAssembly's sandboxing capabilities further protect data from unauthorized access. This level of confidentiality is particularly valuable for sensitive data analysis, as it minimizes the potential for breaches and ensures data privacy.

2. Query your files using SQL

DuckDB's ability to directly query common data formats like CSV, JSON, Parquet, and Arrow without requiring pre-loading or transformation is a significant advantage.
This flexibility allows data analysts to work seamlessly with diverse datasets, accelerating their analysis workflow. By eliminating the need for data preparation steps, DuckDB reduces time-to-insights, enabling faster exploration and discovery of valuable information within the data.