Coginiti 25.8 focuses on speed, clarity, and control. Teams ship analytics faster with parallel publications, enjoy more helpful linting and autocomplete, visualize results with new charts, and rely on stronger scheduling options. We also added chat history for the AI Assistant and introduced Coginiti Actions workflows in the Scheduler.
Faster CoginitiScript Publications
Publish analytics faster by running independent steps at the same time. CoginitiScript now auto-detects parallel paths from the dependency graph and executes them concurrently when it’s safe to do so. You can tune concurrency with the new parallelism parameter ([1–32], default 1). Prefer the current behavior? Keep it sequential.
Smarter Linting and Autocomplete
Bring your coding standards into the editor. Coginiti now reads project linter rules to provide autocomplete for rules, inline validation, and hover documentation, enabling teams write consistent SQL with less back and forth. Get fewer errors and faster reviews through guided, in-editor standards.
Charting Improvements
We continue to expand Coginiti’s visual analytics features to make charting more interactive, flexible, and useful for exploratory analysis and storytelling.
Coginiti now remembers your preferred chart type and configuration for a given query with saved chart settings. Set your personal defaults in Preferences. New tabs will use your defaults, while re-runs preserve your last choices.
Tell the right story with four new chart types.
- Horizontal bar
- Stacked horizontal bar
- Bubble scatter
- Treemap
Coginiti Scheduler is Evolving
Coginiti Actions in the Scheduler
We’re bringing orchestration that lives with your analytics, governed by the same access model. Author and schedule catalog-native workflows inside your projects with Coginiti Actions. Validated workflows appear in the Scheduler, where you can set connections, environments, and schedules. Steps within a job run sequentially. Jobs without dependencies run in parallel. Permissions are enforced for create, edit, and scheduling, and users receive execution notifications.
Scheduler misfire policy
Control what happens if a job cannot run at the scheduled time. Choose to wait for the next schedule or catch up as soon as resources are available. The selected policy is applied automatically and logged. Get predictable behavior and clean recovery after delays or downtime.
AI Assistant chat history
Pick up any conversation right where you left it. Your chats are saved, can be renamed, and are easy to revisit. This persistent context improves continuity for analysis and troubleshooting, and sets up for future memory systems