# SQL pipelines in DSS[¶](https://doc.dataiku.com/dss/latest/sql/pipelines/index.html#sql-pipelines-in-dss "Permalink to this headline")

A SQL pipeline is a process that combines several consecutive recipes (each using the same SQL engine) in a DSS workflow. These combined recipes, which can be both visual and “SQL query” recipes, can then be run as a single job activity. Using a SQL pipeline strongly boosts performance by avoiding unnecessary writes and reads of intermediate datasets.

SQL pipelines also allow you to optimize the data storage capacity without having to manually re-factor the Dataiku flow (for example, by reducing the number of datasets).

Warning

**Experimental feature**: The SQL pipeline feature is considered experimental and not officially supported. In case of issues, you always have the option to disable SQL pipelines on a per-project basis.

## Topics[¶](https://doc.dataiku.com/dss/latest/sql/pipelines/index.html#topics "Permalink to this headline")

* Using SQL pipelines

* Views in SQL pipelines

* Partitions and SQL pipelines
