Release Note 2026-04

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The April release focuses on enhancing data flexibility and security across the platform. A key highlight is the new SQL-based Source Union editor, which gives users direct control over complex data merges with a more efficient and stable engine. We are also introducing Sensitive Field Hashing, a powerful feature that allows you to protect PII while maintaining the analytical value of your datasets.

Alongside these architectural updates, we’ve expanded our ecosystem with several new connectors and destinations, including Gemini, DoubleVerify and Klaviyo, while continuing to refine our interface for a faster, more intuitive experience. These improvements, paired with significant performance updates across our existing integrations, ensure your data pipelines remain secure and scalable.

Connectors

New Connectors:

  • DoubleVerify
  • Equativ Maestro
  • Gemini (destination)
  • Infor CloudSuite Industrial (Infor CSI)
  • Klaviyo as a destination
  • Pliant

New Datasets, Attributes, and Metrics:

  • Aircall: The following metrics were added to the Calls dataset:
    • tag_id
    • tag_name
    • tagged_by_id
    • tagged_by_name
    • user_id
    • user_name
  • Google Analytics 4: Added the all_conversions_from_store_visit metric.
  • Google Ads: Campaign Name and Ad Group Name fields were added.
  • LinkedIn Ads: Added LinkedIn Ads by Create Analytics dataset.

Connector Updates:

  • Atlassian JIRA: The Boards Backlog dataset now excludes all boards without a backlog.
  • Google Ads: All existing Google Ads sources have been moved to the new connector schema to ensure consistency and reliability.
  • Myob: Historical data extraction is now supported for Myob.
  • Sprout Social: The pagination for the Post and Profile dataset has been improved for stability.

New Features

New Features

Sensitive Field Hashing

We’ve introduced Sensitive Field Hashing to give you greater control over data privacy without losing the ability to perform deep analysis. Dataddo now automatically detects potentially sensitive information, such as PII (Personally Identifiable Information), and highlights these fields during the dataset selection process.

By enabling hashing during the Metadata setup step, you can:

  • Protect User Privacy: Secure sensitive values like email addresses or IDs by converting them into irreversible cryptographic hashes.
  • Maintain Analytical Value: Unlike full data redaction, hashing allows you to use the resulting strings as unique identifiers. This means you can still perform joins, count unique users, and track behavior across systems while remaining fully compliant with global privacy laws.
  • Strengthen Data Governance: Minimize the risk of exposing raw sensitive data in your downstream warehouses or BI tools, ensuring your pipelines meet the highest security standards.

Sensitive data highhlight.

Hash sensitive data fields.

UX/UI Enhancements

Source Union SQL Editor

We’ve improved our SQL editor used for source union. This update gives you a new layer of flexibility, replacing the need for custom workarounds with a standardized, self-service tool.

  • Write SQL Directly: If you know SQL, you can now write queries to join your data exactly how you want.
  • Built for Large Data: The new engine is significantly more efficient for customers managing high-volume datasets.
  • Stable & Secure: Because the editor uses unique IDs behind the scenes, your unions won’t break if you rename your sources or columns later.

We are starting to migrate existing flows to this new architecture. The transition is fast and won't disrupt your current data setup.

New SQL editor

Coming Soon: AI-Assisted Queries
We are already working on an update that will allow you to describe your union in plain English and have the SQL generated for you automatically.

Platform Updates

As of April 30, 2026, the following connectors have been deprecated. If you need any of these connectors, please contact our Customer Support team.

  • Admixer Tradedesk
  • Agyle Time
  • Black Diamond Extractor
  • Bukalapak
  • Click Meeting
  • Coosto
  • Determ
  • eTrusted
  • Everflow
  • Float
  • Outreach
  • Playable
  • Playvox
  • Prisjakt Analytics
  • Prisjakt Insights
  • Referral Candy
  • Scorebuddy
  • Springboard
  • Tokopedia
  • Tune Advertiser
  • Twilio
  • UiPath
  • UKG
  • VirtuaGym
  • Workfront
  • Xandr

Bug Fixes {#bug-fixes}

Connector Fixes {#connector-fixes}

AFAS:

  • Fixed a bug that excluded the Dataddo timestamp from the source schema despite being selected.

Google Analytics 4:

  • Fixed an issue causing data type discrepancy.
  • Fixed an issue with inconsistent behavior of custom channel grouping.

Google Display & Video 360:

  • Fixed an issue with the default report type not listing dimensions and metrics.

Google Sheets:

  • Fixed an issue with unioned sources returning an error message during flow creation.

Mercado Libre:

  • Fixed an issue with missing seller and site_id fields when using the Fulfillment Stock dataset.

Snapchat:

  • Fixed an issue with dynamic date range expressions.

Spaaza:

  • Fixed an issue causing incorrect values to be displayed in Datadd. The issue was caused by discrepancies between the extracted and source schemas.

Trello:

  • Fixed an issue preventing data from being extracted upon source creation.

Xero:

  • Adjusted Xero API limitation to ensure proper handling of large datasets.

Youtube Organic:

  • Fixed an issue with the multi-playlist extraction feature for the Playlist by Video dataset.