Integrate.io October product release roundup

October 2026 Product Releases [Shipped last month] Your packages in Git, promoted by pull request Last month, packages started syncing to GitHub, Job Insights put every dataflow run on a timeline, and new connectors arrived, from Outlook and NetSuite REST to Oracle Fusion and Square. Your team can now review pipeline changes like code, find a slow step at a glance, and load data from more of the systems you already run. Our feature request board is public. We review it every quarter and pull the top items onto the roadmap. New features and enhancements Sync Packages to GitHub and Promote Them by Pull Request The GitHub integration syncs your packages and workflows to a repository you choose, so every saved version is tracked in Git instead of exported as JSON by hand after every change. Teams with separate Dev, QA, and Prod accounts can use package promotion to carry changes forward through reviewed pull requests, so Prod changes only after someone approves. Let our team know if you'd like it enabled on your account. The documentation covers setup. Job Insights Shows Where Every Run Spends Its Time Job Insights lays out each completed dataflow run as a timeline, with record counts for every component, so a slow step or a source that read fewer rows than expected stands out at a glance. It replaces reading through logs and guessing from the totals at the end, so tuning a package or answering a data question starts from evidence. See the documentation for what each part of the view reports. Filters Put Advanced Search One Click Away in Every List View A Filters button beside the search bar puts search modifiers on screen in seven list views, from Jobs and Packages to Connections and Clusters, so anyone can pull up failed runs on one package without knowing the syntax by heart. Each choice lands in the search bar as a modifier, so typed searches keep working as before. The documentation lists the filters each view offers. Other roll-outs Replicate straight into Azure Databricks: The Databricks destination now supports Azure Databricks, so CDC pipelines replicate straight into Delta tables in the workspace your analysts already query. Teams on Azure no longer route output through intermediate cloud storage first, or keep the second copy of the data it left behind (documentation). Salesforce Pipelines Decide How Deletes and Syncs Behave: A deleted-record setting lets you soft-delete rows, kept and marked deleted for audit and history, or hard-delete them so the table matches Salesforce, and pipelines can switch between Full Sync and Incremental Sync. Deleted records no longer need cleaning up downstream, and you decide where a full reload is worth its cost; our team enables the sync mode choice on request (documentation). ZIP Extraction in File Mover: File Mover can unpack ZIP archives at the destination and deliver the extracted files, into one folder per archive or all into one folder. Partner drops that arrive zipped reach their folder ready to load instead of waiting on a separate unzip step (documentation). Excel Output on File Storage Destinations: SFTP, Amazon S3, Google Cloud Storage, and Azure Blob Storage destinations write Excel (.xlsx) files. Teams that expect a spreadsheet get one straight from the job instead of converting a CSV by hand. Job Load Sync Method for BigQuery: The BigQuery destination can load data through BigQuery load jobs as an alternative to streaming inserts. Large initial syncs and backfills get a load path built for volume instead of relying on the streaming API alone. Automatic PostgreSQL Publications: When the connecting user holds the needed rights, PostgreSQL pipelines create and maintain their own publication. New tables join the publication as the pipeline grows instead of waiting on a DBA to update it by hand (documentation). New connectors Outlook Source and Destination: The Outlook source reads calendar events and mail from a signed-in or shared mailbox, and the Outlook