Release Version 2.02

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To know the list of features and integrations we are working on next, read our Upcoming Features page!

In this Release

• New and Changed Features
• Fixes and Improvements
• Documentation Updates

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New and Changed Features

Destinations

• Connecting to Hevo using the Databricks Partner Connect

  • Collaborated with Databricks to provide support for configuring Databricks in Hevo using the Databricks Partner Connect feature. Users can connect either using the credentials obtained from their Databricks account or via the Databricks Partner Connect page.

    

    Read Databricks.

Sources

• ClickUp as a Source

  • Provided integration with ClickUp, a cloud-based project management and collaboration tool, as a Source for creating Pipelines. Hevo uses the ClickUp API to ingest data from your Source.

    To use this integration, you must generate the API keys in the ClickUp account from where you want to ingest the data. The API keys are used for authentication by Hevo to access the data.

    

    Read ClickUp.

• Outreach as a Source

  • Integrated Outreach, a sales engagement platform, as a Source for creating Pipelines. Hevo uses the OAuth 2.0 to connect to your Outreach account and ingest data.

    

    Read Outreach.

• Pingdom as a Source

  • Provided integration with Pingdom, a website performance monitoring platform, as a Source for creating Pipelines. Hevo uses the Pingdom Public API (3.1) to ingest data from your Source.

    To use this integration, you must generate the API keys in the Pingdom account from where you want to ingest the data. The API keys are used for authentication by Hevo to access the data.

    

    Read Pingdom.

• Workable as a Source

  • Provided integration with Workable, a recruitment platform that allows employers to manage their in-house recruitment and hire the best talent for the job. Hevo uses the Workable access token to ingest data from your Source.

    To use this integration, you must generate the access token in the Workable account from where you want to ingest the data. The access token is used for authentication by Hevo to access the data.

    

    Read Workable.

Fixes and Improvements

Sources

• Improved Handling of Decimal Values in Oracle

  • Enhanced the Oracle integration to handle decimal values up to 9 decimal places. Hevo rounds off the value if it has more than 9 decimal points. This feature fixes the Pipeline errors that occurred due to scale not being defined separately on the table schema.

• Improved Data Ingestion for Calculated Fields in Salesforce

  • Enhanced data ingestion for Salesforce to automatically restart historical load for all objects that contain calculated fields, to capture any Events that are not ingested during incremental ingestion.

    Read Source Considerations.

Documentation Updates

The following pages have been created, enhanced, or removed in Release 2.02:

Data Ingestion

• Handling of Deletes

Destinations

• Databricks

• Destination FAQs

  • Can I move data between SaaS applications using Hevo? (New)

Sources

• ClickUp (New)

• Historical data ingestion failing in Full Load mode (New)

• Outreach (New)

• Pingdom (New)

• Rest API

• Salesforce

• Workable (New)