Databricks recognized as a Gartner® Peer Insights™ Customers’ Choice for Analytics and BI

We’re proud to share that Databricks has been recognized as a Customers’ Choice in the Gartner® Peer Insights™ Voice of the Customer for Analytics and Business Intelligence Platforms. This recognition reflects strong customer adoption of Databricks AI/BI and highlights how organizations are rethinking analytics as workflows shift from dashboard-centric reporting toward AI-assisted exploration and delivery.

The Voice of the Customer report aggregates verified peer reviews from customers actively using analytics and BI platforms in production, evaluating vendors across experience, capabilities, deployment, and customer support. By capturing feedback directly from practitioners and business leaders it provides a customer-driven view of how modern analytics platforms deliver value in real-world environments.

Download a copy of the report here.

Expectations for analytics are shifting rapidly. Organizations are moving away from static reporting systems toward AI-powered experiences that help users explore data, generate insights, and interactively reason through questions. As this shift accelerates, analytics platforms must evolve from disconnected dashboard tools into unified systems that combine governed data, AI, and business intelligence.

Why Peer Validation Matters in Modern Analytics

Analytics platforms increasingly serve as foundational decision infrastructure. As organizations expand analytics access to more users and integrate AI into analytical workflows, confidence in both the platform and the insights it produces becomes critical.

The Gartner Peer Insights Voice of the Customer report is designed to help buyers evaluate this confidence through real customer feedback. Vendors placed in the Customers’ Choice quadrant meet or exceed market averages for both customer adoption and overall experience.

In this year’s report, customers rated Databricks with:

• 4.8 out of 5 stars overall
• 94% willingness to recommend

These ratings are drawn from thousands of peer reviews across the analytics and BI market, reflecting real-world deployment experiences across industries, company sizes, and regions.

At a time when many vendors are introducing AI-powered analytics capabilities, independent customer validation provides an important signal about which platforms consistently deliver value in production environments.

The Databricks Approach to AI-powered BI

Databricks AI/BI and Genie is built directly into the Databricks Platform, bringing analytics, AI, and governance together within a single architecture.

By making BI native to the data platform, organizations can analyze live, governed data without moving or duplicating datasets. Governance policies, lineage tracking, and security controls are applied consistently through Unity Catalog, ensuring analytics experiences remain trusted and compliant.

Databricks AI/BI introduces AI-powered experiences designed for both practitioners and business users. AI/BI Dashboards help analysts accelerate dataset creation, dashboard authoring, and visualization development. Genie extends self-service analytics by allowing business users to explore data conversationally, uncover insights, and refine questions through iterative interaction.

Databricks One extends this experience by providing a business-friendly entry point for discovering, consuming, and interacting with analytics and AI. Through Databricks One, business users can access dashboards, conversational analytics experiences, and purpose-built data applications through a simplified interface that surfaces trusted, governed content without exposing underlying technical complexity.

Together, AI/BI Dashboards, Genie, and Databricks One represent a full-stack analytics experience spanning creation, exploration, and business consumption. And because these experiences operate directly on governed enterprise data and shared semantic context, they generate accurate and relevant insights even in complex real-world environments.

What Customers Are Validating

The Customers’ Choice recognition reflects how organizations are adopting unified analytics platforms to simplify architecture and scale insight delivery.

Customers are using Databricks AI/BI and Genie to consolidate fragmented reporting environments, reduce data movement between systems, and deliver governed analytics that scale across technical and business teams. Many organizations are also leveraging conversational analytics to expand access to insights, helping business users answer questions independently while reducing pressure on data teams.

More broadly, customers are validating a shift toward analytics platforms that combine data, AI, and business intelligence into a single system of record. This unified approach enables organizations to deliver insights faster, improve consistency across analytics experiences, and increase trust in AI-generated results.

Looking Ahead: Building the Future of Agentic Analytics

Analytics is evolving toward AI-driven systems that help users move from question to insight to action within a single workflow. Instead of serving as static endpoints, dashboards, conversational interfaces, semantic modeling, and governance are converging into unified analytical experiences powered by intelligent agents.

Databricks AI/BI and Genie are designed for this future. By embedding analytics directly into the data and AI platform, organizations can deliver faster insights, reduce operational complexity, and expand analytics access while maintaining trust and governance.

Being recognized as a Gartner Peer Insights Customers’ Choice reinforces the momentum behind this approach.

We’re grateful to the customers who shared their feedback through Gartner Peer Insights. Their input continues to shape how we evolve our native BI products and expand agentic analytics capabilities across the Databricks Platform.

Learn More

To learn more about Databricks AI/BI, visit our website and follow @Databricks for the latest news and updates. 

Read the full Gartner Peer Insights Voice of the Customer report.

Frequently Asked Questions

What is the Gartner Peer Insights Customers’ Choice award?

The Gartner Peer Insights Customers’ Choice designation recognizes vendors that meet or exceed market averages for both customer adoption and overall user experience. The recognition is based entirely on verified reviews submitted by customers using the platforms in production.

How does Databricks AI/BI differ from traditional BI tools?

Traditional BI platforms operate as separate visualization layers that require data to be extracted or duplicated into specialized systems. Databricks AI/BI runs directly on governed data within the Databricks Platform, enabling real-time analytics, unified governance, and integrated AI workflows without data movement.

What is Databricks Genie?

Genie is Databricks’ conversational analytics interface. It allows users to explore data and answer business questions using natural language queries, enabling faster insights and reducing dependence on data practitioners for routine or ad hoc analysis.

What is Databricks One?

Databricks One is a business-friendly entry point designed for non-technical users. It provides access to governed dashboards, conversational analytics, and data applications through a simplified interface that surfaces trusted insights from the Databricks Platform.

Why was Databricks recognized in analytics and BI?

Customers recognized Databricks for delivering a unified analytics experience that combines governed data, AI, and business intelligence in a single platform. The approach enables organizations to analyze live data, reduce architectural complexity, and expand analytics access across technical and business teams.

Gartner, Voice of the Customer for Analytics and Business Intelligence Platforms, By Peer Community Contributor, 26 November 2025.

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.