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What is Bold ETL?

Bold ETL offers an incredible, seamless solution for all your Extract, Transform, Load (ETL) needs. Embrace the power of Bold ETL to effortlessly manage the flow of data from various sources into your data warehouse or popular databases like PostgreSQL, MySQL, MSSQL, and Apache Doris. Once the data is transformed and linked to Bold BI, get ready to create captivating dashboards that provide deep and meaningful insights.

Integrated ETL Architecture

Integrated ETL Architecture ​

Benefits of Integrated ETL

Ease of use

Handle data extraction and transformation configuration processes seamlessly with this modern user interface.

Ease of use
Unified Data

Unified data

Bring data into your reporting workflow from various sources through a consolidated data pipeline.

Faster decisions

Make quick decisions, saving time and resources by eliminating the need for separate ETL tools.

Faster Decisions

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Popular resources

How to Perform ETL with Bold BI Dataflows

How to Perform ETL with Bold BI Dataflows

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Working with Bold ETL

Working with Bold ETL

Frequently Asked Questions

Using Bold ETL with Bold BI allows you to move data from different data sources into a single data source. It also provides options for performing transformations, enabling you to use only aggregated data in Bold BI.
No, you do not need to use Bold ETL to leverage Bold BI. Bold BI is a standalone business intelligence and data visualization platform that can connect to various data sources directly.
Bold ETL supports a variety of file types and web, SQL, and NoSQL data sources:
  1. ElasticSearch
  2. Facebook Ads
  3. FileSystem
  4. GitHub
  5. Google Analytics
  6. Google Sheets
  7. HubSpot
  8. Jira
  9. Matomo
  10. MongoDB
  11. MSSQL
  12. Mux
  13. MySQL
  14. Notion
  15. OpenAPI
  16. Oracle
  17. Pipedrive
  18. PostgreSQL
  19. PythonScript
  20. Slack
  21. Strapi
  22. Stripe
  23. Web
  24. Workable
  25. ZendeskChat
  26. ZendeskSupport
  27. ZendeskTalk
In Bold ETL, data transformation can be performed through code mode. In code mode, you can execute SQL queries to transform your data.
The transformed data is stored in the datastore along with the original dataset. This transformed data will be created as a data source in Bold BI for further operations.
The transformed data is stored in the datastore along with the original dataset. This transformed data will be created as a data source in Bold BI for further operations.
Credentials used in Bold ETL are automatically encrypted. The extracted data is moved to the datastore configured by the user and is not stored anywhere outside.
No, you do not need any technical expertise other than a basic knowledge of the connectors you are going to use.
Yes, Bold ETL offers several additional features:
  • You can configure multiple datastore destinations of the same server type and load data into them for each project. This is useful for scenarios where multiple databases of the same type (e.g., multiple MySQL or PostgreSQL databases) are used for different environments like development, testing, staging, or production, or for different segments of business operations.
  • MongoDB and Zendesk have incremental refresh support in Bold ETL.
  • Bold ETL includes an Open API connector and a Python connector, allowing users to write scripts and move data into Bold ETL.

Unify Your Data. Simplify Your Insights.

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