September 2026
Schema changes
Freshdesk
We have added the following new tables:
SOLUTION_ARTICLESSOLUTION_CATEGORYSOLUTION_FOLDER
Shopify
We have added the following new tables:
DRAFT_ORDER_PAYMENT_SCHEDULEDRAFT_ORDER_PAYMENT_TERMINVENTORY_TRANSFERINVENTORY_TRANSFER_LINE_ITEMORDER_LINE_DUTYORDER_LINE_DUTY_TAX_LINEORDER_PAYMENT_SCHEDULEORDER_PAYMENT_TERMTRANSLATABLE_RESOURCETRANSLATABLE_RESOURCE_TRANSLATABLE_CONTENTTRANSLATABLE_RESOURCE_TRANSLATION
TestRail
| Table/column | Change type | Old name | New name | Notes | |
|---|---|---|---|---|---|
GLOBAL_USER | |||||
| table | New Table | GLOBAL_USER | |||
GLOBAL_USER_ASSIGNED_PROJECT | |||||
| table | New Table | GLOBAL_USER_ASSIGNED_PROJECT | |||
PLAN_RUN | |||||
| table | New Table | PLAN_RUN | |||
PLAN_RUN_CONFIG | |||||
| table | New Table | PLAN_RUN_CONFIG | |||
TikTok Ads
We have added three new columns, campaign_name, adgroup_name, and campaign_automation_type, to the AD_HISTORY table. We have added the following new columns to the AD_HISTORY table:
adgroup_namecampaign_automation_typecampaign_name
Vonage Contact Center
| Table/column | Change type | Old name | New name | Notes | |
|---|---|---|---|---|---|
CONTENT | |||||
| table | New Table | CONTENT | |||
INTERACTION_CATEGORY | |||||
| table | New Table | INTERACTION_CATEGORY | |||
INTERACTION_CONTENT | |||||
| table | New Table | INTERACTION_CONTENT | |||
INTERACTION_HANDLING_AGENT | |||||
| table | New Table | INTERACTION_HANDLING_AGENT | |||
INTERACTION_SENTIMENT_DISTRIBUTION | |||||
| table | New Table | INTERACTION_SENTIMENT_DISTRIBUTION | |||
INTERACTION_SUB_CATEGORY | |||||
| table | New Table | INTERACTION_SUB_CATEGORY | |||
INTERACTION_TRANSCRIPT | |||||
| table | New Table | INTERACTION_TRANSCRIPT | |||
Improvements
AppsFlyer
We now support table-level resyncs for the AppsFlyer connector. You can trigger a resync for an individual table without affecting the sync progress of other tables.
BigQuery destination
We have improved how Fivetran handles large rows in BigQuery. We now evaluate the total row size before applying column-level limits. If the row is under approximately 100 MB, we sync the full values without truncation. If the row exceeds approximately 100 MB, we apply an 8 MB limit to each variable-length column (STRING, JSON, BINARY, and XML) to help reduce the row size.
Previously, we applied the 8 MB per-column limit regardless of the total row size. This change allows tables with fewer columns to sync larger individual values while staying within BigQuery row size limits.
Row filtering support for Float, Double, and BigDecimal data types
Row filtering now supports the Float, Double, and BigDecimal data types. You can enter values in standard decimal notation (1.23, -0.005) or scientific notation (1.23e-4, -4.5e10), and use these types with all supported operators, including In.
Float and Double values must fall within their respective IEEE 754 range limits. BigDecimal values are stored and compared as arbitrary-precision decimals with no enforced range limit.
For more information, see our row filtering documentation.
S3-Compatible Storage
The S3-Compatible Storage connector is now generally available.
Read our S3-Compatible Storage connector documentation.
SharePoint
We have added a new configuration option, Private Key Passphrase, to support Client certificate authentication using encrypted private keys. For more information, see our setup instructions and REST API Configuration.
Workday RaaS
Our Workday RaaS connector now supports a new query mode, WQL. WQL queries fetch report data in paginated ranges, allowing us to sync large reports incrementally without exceeding Workday's report size limit. To support this query mode, we have added the following fields to the connection setup form:
- Query Mode
- WQL QUERY
- Enable Incremental Filter
- Select Report Incremental Date Field
- Select incremental start date