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Condense v2.5.0 introduces significant improvements across AI-powered operations, workspace management, developer productivity, data processing utilities, and overall platform usability. This release expands the Condense AI ecosystem, introduces powerful new stream processing utilities, simplifies workspace management, and enhances the product experience for both new and existing users. The following sections summarize the major capabilities introduced in this release.

Billing AI Agents

Condense now includes dedicated Billing AI Agents that simplify billing operations and help users understand platform consumption, pricing, and usage. These intelligent assistants provide contextual guidance and improve visibility into billing-related activities across the platform.

Experience Center

The new Experience Center allows users to explore Condense without creating an account or signing in. Visitors can instantly access pre-configured workspaces and experience real streaming applications before starting their evaluation journey, making product exploration faster and more accessible.

Condense AI Agents Expansion

The Condense AI ecosystem has been expanded with the introduction of Condense L1 Agents and specialized Sub Agents. These intelligent assistants help users monitor the platform, diagnose operational issues, understand streaming pipelines, and accelerate development through domain-specific expertise.

Bulk Environment Variable Import

Environment variable management has been simplified with support for bulk ENV uploads. Users can now import multiple environment variables in a single operation, reducing manual configuration effort and improving deployment efficiency across applications and connectors.

New Stream Processing Utilities

Condense introduces several new utilities to simplify real-time data processing and pipeline development.

Enrich Utility

The Enrich Utility joins real-time event streams with metadata sources to enrich streaming records before downstream processing. It combines live telemetry with reference data stored in Condense, enabling richer analytics and more intelligent stream processing.

Data Utility 1.0

The new Data Utility replaces the earlier Alert Utility and provides a high-performance engine for monitoring streaming data, maintaining stateful metrics, and triggering automated actions based on configurable conditions.

Merge Utility

The Merge Utility enables multiple streaming sources to be combined into a single unified stream, simplifying complex event processing and downstream pipeline design.

Split Utility 2.0

The enhanced Split Utility 2.0 provides improved capabilities for dividing streaming data into multiple output streams based on configurable conditions, making complex routing scenarios easier to implement.

Improved Reusability

Several new capabilities make it easier to reuse existing assets across the platform.
  • Clone deployed connectors without recreating configurations.
  • Clone deployed transforms for faster development.
  • Clone entire workspaces to accelerate environment provisioning.
  • Copy existing connectors or transforms into custom implementations for further customization.

New Connector Support

Condense now includes a new Scania OEM Connector, expanding the platform’s connected vehicle ecosystem and enabling seamless ingestion of Scania fleet and telematics data into Condense streaming pipelines.

Improved Collaboration

After signing in, users can now directly schedule meetings from within the platform, making it easier to connect with the Condense team for onboarding, technical guidance, or product discussions.

Documentation Improvements

Connector documentation has been standardized and is now available in Markdown format, providing a more consistent, searchable, and developer-friendly documentation experience.

Platform Improvements

This release also includes numerous user experience improvements, interface refinements, stability enhancements, and performance optimizations across the platform to deliver a faster, more intuitive, and reliable user experience.