> For the complete documentation index, see [llms.txt](https://documentation.scrapin.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.scrapin.io/dataset/basics/editor-1.md).

# Sending Methods

We deliver data either via direct download or directly into your chosen cloud storage, including Amazon S3 and Google Cloud Storage

| **Direct Download**      | We provide a secure link and login credentials so you can retrieve the data directly.  |
| ------------------------ | -------------------------------------------------------------------------------------- |
| **Amazon S3**            | Share your S3 storage credentials, and we’ll deliver the data straight to your bucket. |
| **Google Cloud Storage** | Provide your GCS credentials, and we’ll transfer the data to your storage.             |
| **Microsoft Azure**      | Provide your Azure storage credentials, and we’ll send the data directly to you.       |

### What tools do you recommend?

Working with large datasets requires the right combination of technologies to efficiently manage storage, processing, and transformation at scale. Below are some categories and examples of tools commonly used for big data workloads:

| **Tool Category**                        | **Examples**                                                                                         |
| ---------------------------------------- | ---------------------------------------------------------------------------------------------------- |
| **Database systems**                     | MongoDB, Couchbase, PostgreSQL, Apache Cassandra, Amazon Redshift, Amazon S3 + Athena, Elasticsearch |
| **Data processing frameworks**           | Apache Spark, Apache Hadoop                                                                          |
| **Data ingestion tools**                 | Apache NiFi, Google BigQuery                                                                         |
| **ETL (Extract, Transform, Load) tools** | AWS Glue, Talend                                                                                     |
| **Data transformation**                  | dbt, Pandas                                                                                          |


---

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