> ## Documentation Index
> Fetch the complete documentation index at: https://clickhouse.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
> Bringing Azure Data into ClickHouse - Overview
# Bringing Azure Data into ClickHouse
export const ClickHouseSupportedBadge = () => {
return ;
};
Microsoft Azure offers a wide range of tools to store, transform, and analyze
data. However, in many scenarios, ClickHouse can provide significantly better
performance for low-latency querying and processing of huge datasets. In
addition, ClickHouse's columnar storage and compression can greatly reduce the
cost of querying large volumes of analytical data compared to general-purpose
Azure databases.
In this section of the docs, we will explore two ways to ingest data from Microsoft Azure
into ClickHouse:
| Method | Description |
| -------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Using the `azureBlobStorage` Table Function](/docs/integrations/connectors/data-ingestion/azure/azure-data-factory/using-azureblobstorage) | Involves using ClickHouse's [`azureBlobStorage` Table Function](/docs/reference/functions/table-functions/azureBlobStorage) to transfer data directly from Azure Blob Storage. |
| [Using the ClickHouse HTTP interface](/docs/integrations/connectors/data-ingestion/azure/azure-data-factory/using-http-interface) | Uses the [ClickHouse HTTP interface](/docs/concepts/features/interfaces/http) as a data source within Azure Data Factory, allowing you to copy data or use it in data flow activities as part of your pipelines. |