DuckDB is an embeddable SQL OLAP database management system
All the benefits of a database, none of the hassle.
Installation
Choose your environment to use for DuckDB
- Python
- R
- Java
- C++
- CLI
pip install duckdb==0.2.0
Latest release: DuckDB 0.2.0 System detected: Other Installations
pip install duckdb==0.2.0
install.packages("duckdb", repos=c("http://download.duckdb.org/alias/v0.2.0/rstats/", "http://cran.rstudio.com"))
<dependency>
<groupId>org.duckdb</groupId>
<artifactId>duckdb_jdbc</artifactId>
<version>0.2.0</version>
</dependency>
More Options
https://github.com/cwida/duckdb/releases/download/v0.2.0/libduckdb-osx-amd64.zip
https://github.com/cwida/duckdb/releases/download/v0.2.0/duckdb_cli-osx-amd64.zip
When to use DuckDB
- Processing and storing tabular datasets, e.g. from CSV or Parquet files
- Interactive data analysis, e.g. Joining & aggregate multiple large tables
- Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/ updating columns
- Large result set transfer to client
When to not use DuckDB
- Non-rectangular data sets, e.g. graphs, plaintext
- High-volume transactional use cases (e.g. tracking orders in a webshop)
- Large client/server installations for centralized enterprise data warehousing