# Load TPC-H Data into SingleStore

This tutorial shows how to load the TPC-H dataset into your SingleStore deployment using [Pipelines](https://docs.singlestore.com/db/v9.1/load-data/about-singlestore-pipelines.md) and then query it to obtain business-critical metrics. Pipelines enable you to extract, transform, and load external data without needing third-party tools or middleware.

## What is TPC-H?

The TPC Benchmark™H (TPC-H) is a decision support benchmark, which consists of a suite of business oriented ad-hoc queries and concurrent data modifications. These queries have been chosen to have broad industry-wide relevance. This benchmark illustrates decision support systems that examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions.

## Prerequisites

Connect to a SingleStore deployment or a SingleStore instance deployed on a self-managed cluster running on AWS.

Use the SingleStore Dev Image for development environments.

For a SingleStore cluster, see the [SingleStore Dev Image](https://docs.singlestore.com/db/v8.7/deploy/singlestore-dev-image/) deployment option for more details.

## In this section

* [Create Database and Tables](https://docs.singlestore.com/db/v9.1/introduction/sample-data/load-tpc-h-data-into-singlestore/create-database-and-tables.md)
* [Load Data with Pipelines](https://docs.singlestore.com/db/v9.1/introduction/sample-data/load-tpc-h-data-into-singlestore/load-data-with-pipelines.md)
* [Verify Pipeline Success](https://docs.singlestore.com/db/v9.1/introduction/sample-data/load-tpc-h-data-into-singlestore/verify-pipeline-success.md)
* [Run Queries on Data](https://docs.singlestore.com/db/v9.1/introduction/sample-data/load-tpc-h-data-into-singlestore/run-queries-on-data.md)

***

Modified at: February 6, 2025

Source: [/db/v9.1/introduction/sample-data/load-tpc-h-data-into-singlestore/](https://docs.singlestore.com/db/v9.1/introduction/sample-data/load-tpc-h-data-into-singlestore/)

(An index of the documentation is available at /llms.txt)
