How to Connect Apache Superset with CSV Files via DuckDB
Learn to Connect Apache Superset Open Source Data Visualization with CSV via DuckDB ( fast in-process analytical database).
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.
Powerful yet easy to use
Superset makes it easy to explore your data, using either our simple no-code viz builder or state-of-the-art SQL IDE.
Integrates with modern databases
Superset can connect to any SQL-based databases including modern cloud-native databases and engines at petabyte scale.
Modern architecture
Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer.
Rich visualizations and dashboards
Superset ships with 40+ pre-installed visualization types. Our plug-in architecture makes it easy to build custom visualizations.
DuckDB is a fast in-process analytical database
DuckDB supports a feature-rich SQL dialect complemented with deep integrations into client APIs
Simple
DuckDB is easy to install and deploy. It has zero external dependencies and runs in-process in its host application or as a single binary.
Portable
DuckDB runs on Linux, macOS, Windows, and all popular hardware architectures. It has idiomatic client APIs for major programming languages.
Feature-rich
DuckDB offers a rich SQL dialect. It can read and write file formats such as CSV, Parquet, and JSON, to and from the local file system and remote endpoints such as S3 buckets.
Fast
DuckDB runs analytical queries at blazing speed thanks to its columnar engine, which supports parallel execution and can process larger-than-memory workloads.
Extensible
DuckDB is extensible by third-party features such as new data types, functions, file formats and new SQL syntax.
Free
DuckDB and its core extensions are open-source under the permissive MIT License.
How to Connect Apache Superset with CSV Files via DuckDB
Step 01: Click on SQL Lab
Step 02: Choose DuckDB
Step 03: Type below command in SQL Lab
SELECT * FROM read_csv_auto('flights.csv');
Step 04: Click on run
Step 05: Here are results.
Here is Quick Video for Visual reference