A unified platform that centralizes version control, deployment automation, asset intelligence, and lifecycle analytics to help teams manage, optimize, and scale Power BI environments with full visibility and control.
| DevOps for Power BI | DevOps Essential | DevOps Prime | DevOps Enterprise |
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Zero-Touch Version Control |
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One-Click Deployment |
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Release-Based Deployment |
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Advanced Deployment with Deployment Plans |
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Approval Processes |
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| Integrations | DevOps Essential | DevOps Prime | DevOps Enterprise |
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Ticket Integration |
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Gen AI – DevOps Intelligence |
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| DevJeannie Browser Plug-In | DevOps Essential | DevOps Prime | DevOps Enterprise |
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Metadata & Power BI Reports |
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Global Search |
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Lifecycle Insights |
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Pre-deployment Checklist |
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Visual Diff |
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| Analytics Asset Management | DevOps Essential | DevOps Prime | DevOps Enterprise |
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Analytics Asset Clean Up |
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Artifact Observations |
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Artifact Classifer and Enrichment |
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Power BI Project Intelligence |
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AAM – Self-Service Analytics |
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Explore the core features designed to streamline development, strengthen governance, and enhance visibility across your analytics environment, empowering teams to manage assets, deployments, and performance with precision and efficiency.
Automated, continuous versioning of all supported BI artifacts, without requiring developers to change their workflow. Every modification is captured in real-time,providing full history, diffs, and rollback capabilities with no manual check-ins, Git steps, or process disruption.
Streamlined, single-step promotion of BI assets across environments. Automatically performs dependency checks, version validation, and consistency verification.
Create releases by tagging selected BI assets and deploying them as a coordinated build, ensuring all artifacts move together with consistent versions.
A fully governed deployment experience that includes customizable deployment workflows and automated deployment plans including postdeployment actions.
Built-in workflow controls that enforce review, approval, and documentation as a part of every deployment.
Incorporates common ticketing systems (e.g., Jira, Azure DevOps, ServiceNow) to ensure each change is properly tracked, assigned, and auditable.
Integrates with various AI providers to enhance and augment your development experience. (Includes creating descriptions, definitions, and user instructions.)
Extends the Power BI interface with enhanced metadata, search, and customizable checklists.
A centralized, searchable catalog that analyzes and compares metadata across all semantic models to detect inconsistencies in DAX measures, naming conventions, formatting, and calculation logic.
Designed to enable end-to-end search across the metadata in any connected BI environment.
Provides analytics over analytics and displays an overview of the development lifecycle and usage patterns of your analytics.
Brings best practices right to the Power BI interface to help ensure compliance with the highest standards of performance before releasing analytics to production.
Allows version comparison in a side-by-side view and supports merging and rollback per visual capabilities.
Reporting engine on the complete Power BI lifecycle, offering analytics over analytics, lifecycle KPIs, and identifying quality issues, inconsistencies, and adoption issues. AAM continuously monitors the creation and changes to keep environments governed.
Identifies unused, redundant, or outdated analytics assets to reduce clutter and cut BI waste, while monitoring creations and changes to keep environments governed
Automatically captures key attributes of Power BI reports and semantic models, providing the artifact details needed to accurately classify and score their complexity.
An automated engine that evaluates the characteristics of each BI artifact using a configurable scoring framework to classifies quality, complexity, volatility usage, and other key aspects that are critical in managing the Power BI environment.
A set of visuals that transforms Power BI metadata into actionable project intelligence, giving project managers the visibility needed to assess risks, size project scope, estimate effort, and plan confidently.
Providing a dataset to build visualizations that support the BICC in managing the Power BI environment to keep it robust and manageble
Soterre is offered as a SaaS subscription, with pricing based on the selected licensing tier. The base subscription covers all Fabric SKUs, provided the total allocated Fabric capacity remains below 64 Capacity Units (CUs).
If your Fabric capacity reaches or exceeds 64 CUs, additional Soterre licenses are required. These must match the SKU level of your Fabric capacity and be added to your base subscription to ensure full coverage under Soterre’s capacity-based licensing model.
For customers not on Fabric and using per-user licenses such as Microsoft 365 E3, E5, G3, or G5, a Soterre SKU equivalent to F64 is required if more than 500 users hold Power BI Pro or Premium licenses.
DevOps Essential: Gives teams basic control over their DevOps configuration.
DevOps Prime: Extends Power BI DevOps capabilities by surfacing deployment activity, change tracking, and configuration insights directly within the Power BI platform, enabling data-driven development, streamlined governance.
DevOps Enterprise: Delivers advanced configuration management with AI-assisted insights for full control of your Power BI implementation, including workspace clean-up, report and semantic models intelligence, and analytics-over-analytics to optimize performance and governance.
