# Airbyte Quickstarts
Welcome to Airbyte Quickstarts! This repository provides various templates to help you quickly build your data stack tailored to different domains like Marketing, Product, Finance, Operations, and more.
## Objective
To empower data teams by providing ready-to-use code templates, enabling the swift and efficient deployment of data stacks with minimal configuration.
## How To Start?
1. **Choose a Template**: Navigate to the Quickstart that suits you needs. Each folder in this repository is a Quickstart and can be used as a standalone project.
2. **Follow Setup Instructions**: Each Quickstart contains a `README.md` file with step-by-step instructions to set up the stack.
3. **Customize**: Modify the Quickstart as needed to suit your specific requirements.
## List Of Available Quickstarts
- [Airbyte, dbt, Airflow and BigQuery E-commerce Stack](./airbyte_dbt_airflow_bigquery)
- [Airbyte, dbt, Airflow and Snowflake Basic Stack](./airbyte_dbt_airflow_snowflake)
- [Airbyte, dbt, Dagster and BigQuery Basic Stack](./airbyte_dbt_dagster)
- [Airbyte, dbt, Dagster and Snowflake Basic Stack](./airbyte_dbt_dagster_snowflake)
- [Airbyte, dbt, Prefect and BigQuery (PAD) Stack](./airbyte_dbt_prefect_bigquery)
- [Airbyte, dbt, Prefect and Snowflake Basic Stack](./airbyte_dbt_prefect_snowflake)
- [Airbyte, dbt, Snowflake and Looker Basic Stack](./airbyte_dbt_snowflake_looker)
- [API to Data Warehouse Integration Stack](./api_to_warehouse)
- [Customer Satisfaction Analytics Stack With Zendesk Support, Airbyte, dbt, Dagster and BigQuery](./satisfaction_analytics_zendesk_support)
- [Customer Ticket Volume Analytics Stack With Zendesk Support, Airbyte, dbt, Dagster and BigQuery](./ticket_volume_analytics_zendesk_support)
- [Database Snapshot Stack](./database_snapshot)
- [E-commerce Analytics with Airbyte, dbt, Dagster and BigQuery](./ecommerce_analytics_bigquery)
- [ELT simplified stack with Airbyte, dbt, Prefect, Github and Bigquery](./elt_simplified_stack)
- [Github Insight Stack with Airbyte, dbt, Dagster and BigQuery](./github_insight_stack)
- [Low-Latency Data Availability Stack](./low_latency_data_availability)
- [MongoDB MySQL Integration Stack](./mongodb_mysql_integration)
- [Multisource Database Aggregtion Stack](./multisource_aggregation)
- [Postgres Data Replication Stack](./postgres_data_replication)
- [Postgres to MySQL Database Migration Stack](./postgres_to_mysql_migration)
- [Postgres to Snowflake Data Integraton](./postgres_snowflake_integration)
## Contribution Guidelines
We highly encourage community contributions to help improve, expand and add new Quickstarts! Please read our [Contribution Guidelines](CONTRIBUTING.md) before making a submission.
If you're looking to contribute with a new Quickstart, you can look for inspiration in the [Issues](https://github.com/airbytehq/quickstarts/issues) tab. There, we keep a list of our most wanted Quickstarts and often offer rewards for contributions, for example, during our different Hackathons.
## Contact
For questions or help with the contributing process, please reach out in the #hackathons channel in the [Airbyte Slack](https://airbytehq.slack.com/).