95% “Willingness to Recommend” for Posit in 2025 Gartner Peer Insights™ Voice of the Customer

2026-02-18

As enterprises race to become AI-driven, they’re under an intense pressure to accelerate innovation and deliver measurable ROI. However, they all face the same problem, balancing data science speed, flexibility, and delivery with IT scalability, security, and control.

This ongoing tension impacts business performance and reduces ROI. This includes:

Stifled innovation: Restrictive controls slow delivery, spawn shadow AI, and drive away top talent who expect modern tooling
Increased risk: Poor governance creates reproducibility failures, security vulnerabilities, and compliance nightmares—especially in regulated sectors
Wasted resources: Data scientists manage infrastructure instead of delivering insights while IT chases unsanctioned tools

Businesses’ insatiable appetite for generative AI intensifies this pressure, demanding both rapid experimentation and robust governance. In highly regulated sectors, failing to balance innovation with oversight introduces material business risk.

In the 2025 Gartner Peer Insights™ ‘Voice of the Customer’ report for Data Science and Machine Learning Platforms 95% of reviewers would recommend Posit (based on 99 reviews as of August 2025), with particularly strong representation from Healthcare (30%), Government (20%), and Finance (17%)—the sectors where this balance matters most.

The Real Cost of This Conflict

When NASA’s People Analytics team needed to respond to urgent Congressional requests about workforce planning, they couldn’t wait weeks for IT approvals. Before Posit, they physically carried laptops to meetings to present analyses and recognized this wasn’t sustainable. They needed to transform their two-week analysis cycles into real-time responses.

Microsoft’s Azure team identified that their 3-day model-to-feedback cycle created unnecessary risk when managing 300 data centers with billion-dollar infrastructure decisions. They knew they needed to accelerate without sacrificing governance.

Unity Health Toronto’s data scientists developed breakthrough models for predicting patient deterioration, but recognized these models couldn’t deliver value while trapped on individual laptops. They saw an opportunity to reduce unexpected deaths by 26%—if they could deploy securely.

These aren’t isolated occurrences, but rather, they’re emblematic of the challenge that many companies face today. In regulated industries, a single untracked model making decisions about loans, clinical trials, patient treatments, or benefits could trigger million-dollar fines.

What Success Looks Like: The Value of Harmonized Speed and Governance

There is a better way – one that peer organizations have validated achieves both agility and control. Success means a platform where practitioners experience frictionless access to preferred IDEs (RStudio, Positron) and streamlined deployment, enabling rapid iteration. Built on open source foundations with seamless integration capabilities, this approach prevents vendor lock-in while maintaining enterprise-grade governance. Success means having IT and platform owners maintain centralized management, enforce security standards, ensure auditability, and control costs effectively. Achieving this harmony leads directly to faster time-to-insight, reduced operational risk, better collaboration, and ultimately, greater return on data investments.

Why 95% Willingness to Recommend Matters to us

From Posit’s perspective, willingness to recommend is meaningful because it aligns with the outcomes our customers prioritize.

We believe this reflects what NASA discovered: analysis delivery that went from two weeks to minutes. Or what Microsoft found: reducing their model-to-stakeholder feedback cycle by 72x. These aren’t incremental improvements—they’re transformational changes in how work gets done.

The reviewer demographics are particularly revealing. Organizations operating under HIPAA, SOX, and government security clearances still achieve these productivity gains. Unity Health Toronto deployed their CHARTWatch system through Posit Connect with full hospital authentication, achieving that 26% reduction in unexpected deaths while maintaining complete compliance.

Director of Front Office Solutions in the Banking Industry gives Posit Team 5/5 Rating in Gartner Peer Insights™ Data Science and Machine Learning Platforms Market. Read the full review here: https://gtnr.io/lWGLrEYvI

Validation from the Field: Gartner Peer Insights™ User Reviews

How achievable is this balance in practice? To complement Posit’s perspective, verified user reviews on Gartner Peer Insights™ provide an independent view of how organizations assess data science and machine learning platforms in real-world environments. The following observations are drawn directly from the 2025 Voice of the Customer for Data Science and Machine Learning Platforms report.

User Willingness to Recommend

According to the report, 95% of reviewers indicated a “Willingness to Recommend” Posit (based on 99 reviews as of August 2025). This metric reflects reviewers’ overall satisfaction with their experience using the platform.

Representation Across Regulated Industries

The report also shows strong user participation in highly regulated sectors, including Healthcare (30%), Government (20%), and Finance (17%). These industries typically operate under strict requirements for security, compliance, and auditability.

Overall and Category Ratings

Posit received an overall rating of 4.7 out of 5 stars, with strong scores across multiple evaluation categories, including:

Product Capabilities (4.7/5.0)
Support Experience (4.6/5.0)
Deployment Experience (4.5/5.0)

These ratings reflect how reviewers assessed the platform based on their individual experiences.

VP, Biometrics in the Healthcare and Biotech Industry gives Posit Team 5/5 Rating in Gartner Peer Insights™ Data Science and Machine Learning Platforms Market. Read the full review here: https://gtnr.io/vExUEPCPv

The Path Forward: Assessing and Achieving Balance in Your Organization

How does your organization measure up against this picture of balanced speed and governance? Consider these questions:

Do your data scientists frequently use unmanaged laptops or tools (“shadow AI”)?
Is onboarding new team members with secure, ready-to-use environments slow?
Do reproducibility challenges delay projects or cause audit concerns?
Is deploying data science insights into production a major bottleneck involving multiple teams?
Are security concerns preventing the use of valuable open-source innovation?

Posit facilitates this balance by combining the innovative power of open-source R and Python with professional tools designed for enterprise security, management, and scale. This approach empowers users and satisfies IT, differentiating from purely proprietary solutions or unmanaged open source. Organizations that successfully harmonize data science agility with robust governance will be best positioned to innovate responsibly in the AI era.

To take the next step:

Gartner customers can explore the full Gartner Peer Insights™ ‘Voice of the Customer’ report to see detailed user reviews [Link to Gated Report].
Evaluate your current environment using the assessment questions.
Share your feedback about Posit Team with Gartner Peer Insights.
Discuss how Posit can address your organization’s speed and governance challenges with our team. Schedule a call today.

Gartner, Voice of the Customer for Data Science and Machine Learning Platforms, 30 October 2025

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