Release Note 2026-02

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Our February release marks a significant milestone in platform stability and operational efficiency. One of the highlights of this update is the transition to fixed schemas across our entire connector library. By standardizing data types at the source, we’ve not only eliminated the risk of schema drift but also unlocked a highly requested capability: the ability to configure full data pipelines before a single row of data is even collected.

We are also continuing to modernize our core infrastructure with a comprehensive architectural refactor of our Google Analytics 4 connector. This upgrade delivers superior performance, enhanced support for custom attributes, and a more robust foundation for high-volume extractions.

In addition to these structural improvements, we’ve expanded and deepened data availability for some of our most important connectors. Paired with ongoing UI refinements, this release ensures that managing complex data flows remains intuitive and reliable.

Connectors

New Connectors:

  • Microsoft Graph
  • Teads

New Datasets, Attributes, and Metrics:

  • Eventbrite: New fields added to the Attendees by Event dataset to allow event cost analysis at attendee and event level:
    • Affiliate
    • Answers
    • Barcodes
    • Cancelled
    • Checked In
    • Cost Base Price Currency
    • Cost Base Price Display
    • Cost Base Price Major Value
    • Cost Base Price Value
    • Cost Eventbrite Fee Currency
    • Cost Eventbrite Fee Display
    • Cost Eventbrite Fee Major Value
    • Cost Eventbrite Fee Value
    • Cost Gross Amount Currency
    • Cost Gross Amount Display
    • Cost Gross Amount Major Value
    • Cost Gross Amount Value
    • Cost Payment Fee Currency
    • Cost Payment Fee Display
    • Cost Payment Fee Major Value
    • Cost Payment Fee Value
    • Cost Tax Currency
    • Cost Tax Display
    • Cost Tax Major Value
    • Cost Tax Value
    • Delivery Method
    • Guestlist ID
    • Invited By
    • Quantity
    • Refunded
    • Resource URI
    • Status
    • Variant ID
  • Gusto: Employee Terminations dataset added.
  • HubSpot: Traffic by source fields added to the HubSpot dataset.
  • LinkedIn Organic:
    • Posts Images and Posts Videos datasets added.
    • Post Reactions dataset added. This dataset is available for accounts with the LinkedIn Community Management authorizer.
  • Mercado Libre:
    • The following fields were added: Account ID, Account Name, Campaign Objective.
    • Campaigns Display Metrics and Display Ads Metrics datasets added.
  • Microsoft Dynamics 365 Business Central: Company field added to the General Ledger Entry dataset.
  • Pinterest: Dataddo Extraction Timestamp and Dataddo Hash metadata fields have been added.
  • QuickBooks: Added date range to the Invoice Lines dataset.

Connector Updates:

  • Exact Online: A date range has been added to the Deleted Records dataset.
  • Facebook: All our customers have been migrated to the new Facebook connector setup, which is why all deprecated connectors will be removed.
  • Google Ads: Multi-account extraction is now available during source creation. This feature is available for sources created after November 20, 2025, which use the new data loader.
  • Google Analytics 4: The following fields were added to the source configuration:
    • Account Name and Account ID
    • Property and Subproperty
  • HubSpot: Column limit has been increased to 2000 to accommodate bigger datasets.
  • JIRA: The connector has been updated to fit the latest connectivity standards.
  • LinkedIn Organic: The connector has been upgraded to the newest API version.
  • Microsoft Fabric: Authorization using service accounts is now available.
  • Sprout Social: The connector has been upgraded with better pagination for stability and reliability.

Performance Improvements

Google Analytics 4: Architecture & Performance Upgrade

We have completed a comprehensive refactor of our Google Analytics 4 (GA4) connector. This update moves GA4 to our latest high-performance architecture, ensuring a more robust and scalable data extraction experience.

Key Improvements:

  • Enhanced Reliability: By implementing a static schema, we’ve improved data consistency and simplified the setup process for new GA4 sources.
  • Better Customization: We’ve expanded support for custom attributes, giving you more flexibility to extract the specific granular data your business needs.
  • Improved Maintainability: The underlying code has been modernized and bolstered with comprehensive unit testing. This ensures higher stability and allows us to deploy future GA4 updates and API changes even faster.

UX/UI Enhancements

New Settings Layout

We are continuing our commitment to a seamless, user-centric experience by introducing new layouts for the Settings section. This is part of our ongoing mission to ensure that every corner of the platform, from data extraction to account management, feels intuitive, and polished.

The updated settings interface isn't just a visual refresh. It’s a structural improvement designed to help you navigate your workspace more efficiently.

The Settings pages are now aligned with our new design language, ensuring a predictable and familiar experience across the entire platform. These new layouts are optimized for performance, making your administrative tasks smoother and more responsive.

Account settings layout

Account details layout

Developer Notes

API & Metadata Updates

As part of our ongoing efforts to standardize our API architecture, we are introducing several updates to our data extraction payloads.
All existing sources and extractions remain fully backward compatible. While your current setups will continue to function, we recommend that our Headless customers and API users begin migrating to the new payload structures outlined below.

API Payload Changes

The critical path (/create-source) remains backward compatible, but we are transitioning to a more scalable naming convention. Please update your POST payloads as follows:

  • Pluralization:
    • Change metric to metrics
    • Change dimension to dimensions
  • Property ID Consolidation: The subPropertyIds field is being decommissioned. Both subPropertyIds and propertyIds should now be sent together within the propertyIds array.

Metadata Path Consolidation

To simplify how you retrieve property information, we are merging metadata methods:

  • Method Update: The /subProperty method is being decommissioned.
  • New Workflow: All properties and sub-properties will now be unified and output via the /action/property method.

Connectors with Fixed Schemas

To ensure your data flows are as resilient as possible, we have implemented fixed schemas across our entire connector library. By enforcing standardized data types at the source, we eliminate the risk of unexpected schema drifts or data type mismatches that can often lead to broken pipelines.

This shift provides a more "contract-based" approach to data integration: once a flow is established, you can trust that the structure remains constant, protecting your downstream warehouses and BI tools from the integrity issues caused by fluctuating API responses.

Why is it important?

A significant benefit of this architectural shift is the ability to create and configure sources even before data has been collected. Previously, the platform required an initial data pull to validate the schema. Now, thanks to a pre-defined structure, you can build out your entire pipeline immediately.

This is a game-changer for agencies and Headless customers who need to onboard new clients or set up flows for fresh accounts that don't have historical data yet. By removing the need to wait for the first successful extraction, you can significantly accelerate your time-to-value and the deployment of your data infrastructure.

Bug Fixes

Connector Fixes

  • Amazon Ads:
    • Fixed an issue with the Product Type report type. Selecting specific DSP Advertisers caused the extraction to fail, which is why now all available DSP Advertisers will be selected by default.
  • Dataddo:
    • Fixed an issue causing a bad request error message when creating a new source.
  • Enterticket:
    • Fixed an issue with source creation using the Enterticket connector.
  • Exact Online:
    • When encountering source creation for specific divisions using the Sync CRM endpoints, please exclude the Logo field from selected attributes. The source creation might otherwise fail due to the large volume of data within the division.
  • Exasol:
    • Fixed an issue with incorrect schema loading.
  • Google Display & Video 360:
    • Fixed an issue with the connector repeatedly loading data from the same date range.
  • Instagram Organic:
    • Fixed duplicate IDs causing duplicate records with improper timestamps caused by pagination issues.
  • Microsoft Fabric:
    • Fixed an issue with authorization of the service using a personal Microsoft Entra ID account.
  • RTB House:
    • Fixed an issue with selected Summary Stats dataset fields being automatically deselected in the data preview.
  • Salesforce Pardot:
    • Fixed an issue where sources used a static value instead of an actual dynamic date range. This issue occurred when upgrading the connector to meet the latest connectivity requirements and schema.
  • Trustpilot:
    • Fixed an issue with Business Unit IDs not being properly recognized, which prevented source creation.
  • YouTube:
    • Fixed an issue with pagination and filtering of the Video by Playlist dataset.