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Release Announcement: Bold Reports 10.1.11 has arrived! Explore the latest features here.

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What is Bold ETL?

Bold ETL is an optional, technically integrated ETL solution. With Bold ETL, you can define the dataflow from various sources into a data warehouse or a traditional database like, PostgreSQL, MySQL, MSSQL and Apache Doris. With the transformed data connected to Bold Reports, the reports can be created for deeper insights.

Integrated ETL Architecture

Benefits

Ease of use

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

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.

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Working with Bold ETL

Learn how to working with ETL Working with Projects, Scheduling ETL Jobs and Working with Connectors in Bold Reports® deployed in your server.

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Working with Bold ETL

Learn how to working with ETL Working with Projects, Scheduling ETL Jobs and Working with Connectors in Bold Reports deployed in your server.

Read Help

Frequently Asked Questions

Using Bold ETL with Bold Reports 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 Reports.

No, you do not necessarily need to use Bold ETL to leverage Bold Reports. Bold Reports is a standalone business intelligence and reporting 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 Reports 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 Reports 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.

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