> ## Documentation Index
> Fetch the complete documentation index at: https://zenskar.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# How-to: Ingest usage events via data sync connectors

## Zenskar's data-source-specific connectors

Zenskar uses [data-source-specific connectors](/docs/20240301/product-modules/usage/data-sources/data-ingestion-via-data-source-connectors#zenskar-connectors) to connect with your data sources and ingest data.

> 👷 Engineering effort required
>
> The details needed for this step are source-type dependent. Therefore, some technical knowledge is expected to complete this step.

To set up a connector, do the following:

1. **Set Up Source**: Provide a **Source Name** and select a **Source Type** from the drop-down. The list of [available Zenskar connectors](/docs/20240301/product-modules/usage/data-sources/data-ingestion-via-data-source-connectors#zenskar-connectors) is given below.
2. **Source Config**: Provide credentials and other configuration details to establish a connection with the data source. Refer the documentation of the connector you are interested in to know the configuration details.

> 📚 Note
>
> Irrespective of the data source type, Zenkar stores all ingested data in the form of [RDBMS tables](https://cloud.google.com/learn/what-is-a-relational-database).
>
> Tables are database objects that contain all the data in a database. In tables, data is logically organized in a row-and-column format similar to a spreadsheet.

### Zenskar connectors

| Data source                                                                        | Description                                                                                                                                                                                                   |
| :--------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [**Auth0**](/docs/20240301/third-party-integrations/data-sources/auth0)                 | Auth0 is a flexible, drop-in solution to add authentication and authorization services to your applications.                                                                                                  |
| [**BigQuery**](/docs/20240301/third-party-integrations/data-sources/bigquery)           | BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.                                                                                     |
| [**CockroachDB**](/docs/20240301/third-party-integrations/data-sources/cockroachdb)     | A distributed SQL database designed for speed, scale, and survival.                                                                                                                                           |
| [**Google Sheets**](/docs/20240301/third-party-integrations/data-sources/google-sheets) | An online spreadsheet editor from Google.                                                                                                                                                                     |
| [**Looker**](/docs/20240301/third-party-integrations/data-sources/looker)               | Your unified business intelligence platform. Self-service. Governed. Embedded.                                                                                                                                |
| [**Metabase**](/docs/20240301/third-party-integrations/data-sources/metabase)           | An open-source business intelligence platform.                                                                                                                                                                |
| [**MongoDB**](/docs/20240301/third-party-integrations/data-sources/mongodb)             | Cross-platform document-oriented database.                                                                                                                                                                    |
| [**MySQL**](/docs/20240301/third-party-integrations/data-sources/mysql)                 | An open-source relational database management system.                                                                                                                                                         |
| [**PostgreSQL**](/docs/20240301/third-party-integrations/data-sources/postgresql)       | PostgreSQL is a powerful, open source object-relational database system with over 35 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. |
| [**QuickBooks**](/docs/20240301/third-party-integrations/data-sources/quickbooks)       | An online accounting software for small businesses.                                                                                                                                                           |
| [**Snowflake**](/docs/20240301/product-modules/usage/data-sources/data-ingestion)       | Data platform as a self-managed service.                                                                                                                                                                      |
| [**Redshift**](/docs/20260301/third-party-integrations/data-sources/amazon-redshift)    | Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services.                                                                                      |

***

<br />

## 👍 Pros and 👎 cons

| 👍 Pros                                                                        | 👎 Cons                                                                                                                     |
| :----------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------- |
| No engineering bandwidth is required for integrating Zenskar with your system. | Initial data sync can take some time, depending on the size of the data.                                                    |
| Invoices can be generated quickly.                                             | Data-ingestion frequency depends on the sync schedule. This does not matter if you are only interested in periodic billing. |
| Zenskar allows you to edit usage data that has been synced.                    | Viewing usage data is not supported.                                                                                        |

> 🔖 Note
>
> If data ingestion via Zenskar's data-source connectors does not suit your needs, you may look at the following options:
>
> * [Data ingestion via APIs](/docs/20240301/product-modules/usage/usage-event/data-ingestion-via-apis)
> * [Data ingestion via Zenskar-compatible CSV file](/docs/20240301/product-modules/usage/usage-event/data-ingestion-via-zenskar-compatible-csv-file)
> * [Data ingestion via Zenskar's web form](/docs/20240301/product-modules/usage/usage-event/web-form-for-manual-raw-metrics)