Multiplayer editing, AI-assisted troubleshooting, flexible pipeline creation, stronger admin controls, and more reliable data integrations.

Enterprise marketing integrations, a smoother local development loop, and stronger platform foundations for teams expanding their Mage Pro workflows.

A performance and reliability release focused on reproducible dependency environments, stronger Kubernetes defaults, and faster BigQuery streaming.

Recovery, cancellation callbacks, and workspace lifecycle improvements make Mage Pro more resilient when data work goes sideways.

Real-time MSSQL CDC, GCS Delta Lake streaming, automated Git push jobs, and multi-Python images expand production workflow options.

Docker-native workspaces, PostgreSQL CDC, and streaming pipeline improvements give Mage Pro more flexible deployment and ingestion options.

Azure DevOps integration, MySQL CDC, universal file sync, and stronger deployment controls light up more DevOps and data movement workflows.

Docker-powered on-prem deployment, pipeline-level virtual environments, GitLab integration, and CLI job restarts improve speed and control.

AI-powered blocks, Zendesk alerting, Bitbucket support, and smoother pipeline performance give Mage Pro more automation muscle.

Multi-stream API sources, S3-powered Redshift loading, workspace upgrades, and UI improvements make integrations more powerful and manageable.

AI Sidekick, PySpark with Apache Iceberg, DuckDB destinations, and YouTube Analytics sources help teams build smarter data workflows.

Mage’s AI Sidekick became available for all Mage Pro users, helping teams build pipelines, debug issues, and unlock insights from one AI companion.

Custom integrations, better editor errors, flexible block outputs, Meta sources, and resource monitoring expand how teams build and observe pipelines.

QuickBooks, HubSpot, deployment app improvements, editor drag-and-drop, local file variables, and workspace health upgrades strengthen Mage Pro operations.

Mage achieved SOC 2 Type II certification, reinforcing the company’s commitment to security, transparency, and trust.

Customizable UI variables, embedded Mage, light mode improvements, Databricks destinations, workspace sharing, reusable IO config, and Xero support improve enterprise workflows.

Spark, BigQuery streaming, OracleDB CDC, retry policy, stateful streaming, and window aggregation upgrades give Mage Pro stronger real-time foundations.

Enhanced API sources, Teradata, Azure hybrid deployment, Iceberg, Airbyte Cloud, Databricks, concurrency controls, and AI coding assistance expand Mage Pro’s reach.

Asia region availability, SFTP enhancements, IDE integrations, MongoDB CDC replay, security improvements, and new integrations expand Mage Pro globally.

AI Q&A, file versioning, multiple deployment configurations, search/filtering, live markdown preview, author association, and VS Code integration improve developer productivity.

Mage launched a partner program for data experts, consultants, system integrators, and technology partners helping customers adopt Mage Pro.

AI Sidekick, faster code execution, workspace management, regional deployment, pipeline templates, OAuth login, a new UI, OracleDB SQL blocks, in-app chat, private repo deployment, and dbt 1.8 support marked a broad Mage Pro upgrade.

A Google Cloud Storage source update expands data integration coverage for file-backed pipelines.