Running your EL tasks from the CLI has never been simpler. Whether ingesting CSV or JSON files, transferring data between databases, or exporting a custom SQL query to a Parquet file — Sling is the solution that empowers you to achieve it effortlessly.
sling run --src-conn AWS --src-stream s3://file.csv --tgt-conn SNOWFLAKE --tgt-object my_schema.my_table
sling run --src-conn CLICKHOUSE --src-stream default.my_table --tgt-conn PG --tgt-object my_schema.my_table
cat my_file.csv | sling run --tgt-conn MYDB --tgt-object my_schema.my_table
Core engine is written in Go and adopts a streaming design, making it super efficient by holding minimal data in memory
Easily replicate data from a source database, file or SaaS connection to a destination database or file. Define the configuration in a YAML file.
Sling allows you to run your own operation in whatever environment you prefer.
brew install slingdata-io/sling/sling
scoop bucket add sling https://github.com/slingdata-io/scoop-sling.git
scoop install sling
curl -LO 'https://github.com/slingdata-io/sling-cli/releases/latest/download/sling_linux_amd64.tar.gz' \
&& tar xf sling_linux_amd64.tar.gz \
&& rm -f sling_linux_amd64.tar.gz \
&& chmod +x sling
docker pull slingdata/sling
docker run --rm -i slingdata/sling --help
pip install sling
See Github Repository.
Many connection types are supported including MySQL, Oracle, Postgres, SQL Server, AWS S3, Google File Storage, Azure Storage, SFTP and more. See here for a complete list.
Yes it is! Just install it on your machine and use it as you wish. No strings attached. The open-sourced code is located here.