GoodData Reviews: Customer Feedback & Ratings in 2025

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Unbiased 2025 GoodData review with real user feedback, pros, cons, pricing insights, and comparisons to alternatives like Upsolve AI.

Ka Ling Wu

Co-Founder & CEO, Upsolve AI

Nov 14, 2025

10 min

Introduction: 

  • Brief overview of GoodData and its role in the BI & analytics space

  • Importance of user reviews in evaluating BI tools.

  • Purpose of the article: To provide a comprehensive GoodData review based on customer feedback and ratings in 2025.

TL;DR

  • GoodData is a business analytics platform that helps you collect, view, and use your data in one place.

  • Users appreciate its scalability and data integration capabilities, though some note a learning curve and pricing concerns for smaller businesses.

  • SaaS companies, data analysts, and enterprise BI teams seeking robust, embedded analytics solutions find GoodData beneficial.

  • Non-technical users and small businesses find the platform complex and potentially cost-prohibitive.

  • GoodData is a strong choice for organizations needing advanced analytics features and are prepared for the associated investment.

What Is GoodData and How Does it Work?

GoodData is a business analytics platform. It helps you collect, view, and use your data in one place.

You can turn complex data into simple charts and reports.

This helps teams make faster decisions.

The platform has dashboards where you can track numbers like sales, signups, or user activity.

You can change the layout or add filters to see the data you need.

You can also use embedded analytics.

That means you can add these charts directly into your app or website, so users don’t have to switch tools.

Another feature is the semantic layer.

This lets you define business terms like “active user” or “revenue” once, so your whole team sees the same meaning.

For example, if your sales team and product team use the word “conversion,” they’ll all look at the same data.

SaaS teams use GoodData to track product usage.

Agencies use it to show clients results. Product managers use it to understand what features users like.

If you have data and want to make it easy to use and share, GoodData gives you tools to do that in one place.

GoodData Reviews: What Real Users Say About It in 2025

I compiled a quick summary of GoodData reviews from platforms like G2, Capterra, and Reddit so you don’t have to. 

  • G2: 4.2/5 (536+ reviews)

  • Capterra: 4.0/5 (21+ reviews)

  • Reddit: Mixed feedback; some users find it solid but technical

The most common pros and cons among users were:

Pros

Cons

Easy to embed dashboards into apps and websites

Steep learning curve for beginners, especially without SQL knowledge

Responsive customer support

Limited chart options for KPIs

Handles large data volumes effectively

Pricing may be high for small businesses

Customizable dashboards and reports

Some users find the UI less intuitive compared to competitors

Supports multiple data sources and integrations

Requires technical expertise for advanced features

What Do Customers Appreciate About GoodData?

Based on user reviews from G2, Capterra, and Reddit, here are five features of GoodData that users commonly appreciate:

  • Embedded Analytics: Users value the ability to integrate GoodData's dashboards into their own applications and websites. This feature allows for seamless sharing of insights without requiring users to navigate away from their primary platforms.

  • Customizable Dashboards: GoodData offers flexibility in creating dashboards tailored to specific business needs. Users can adjust metrics and visualizations to suit different clients or departments, enhancing the relevance and clarity of the data presented.

GoodData G2 review

Source

  • Data Integration Capabilities: The platform supports integration with various data sources, enabling users to consolidate information from multiple systems. This integration facilitates comprehensive analysis and reporting, aiding in more informed decision-making.

GoodData G2 review

Source

  • User-Friendly Interface: Many users find GoodData's interface intuitive, making it accessible even to those without extensive technical backgrounds. The ease of navigation and dashboard creation helps teams quickly adapt and utilize the platform effectively.

GoodData G2 review

Source

  • Scalability: GoodData is designed to handle large volumes of data, which is beneficial for growing businesses. Users have noted that the platform maintains performance and responsiveness even as data demands increase

GoodData G2 review

Source

What Challenges Do Users Face with GoodData?

These points highlight areas where users have faced difficulties with GoodData.

  • Learning Curve: Many users find GoodData complex to learn, especially for those without a technical background. The interface and data modeling can be overwhelming, requiring time and training to become proficient.

  • Feature Limitations: Some users have noted that GoodData lacks certain functionalities they expect. For instance, there are reports of missing features that make integration challenging and limit functionality in crucial areas.

  • Pricing Concerns: Users have expressed that GoodData can be expensive, particularly for smaller businesses. The cost may not align with the value perceived, especially when compared to other tools offering similar features.

GoodData vs UpSolve in Customer Reviews? 

When comparing GoodData and Upsolve AI based on user reviews, several key differences emerge:

User Experience:

  • GoodData users often highlight its intuitive interface and ease of use, making it accessible for those familiar with data analytics.

  • Upsolve, on the other hand, is praised for its no-code dashboard builder, allowing users without technical backgrounds to create analytics dashboards efficiently.

Customization and Integration:

  • GoodData offers extensive customization options and integrates well with various data sources, which is beneficial for businesses with complex data needs.

  • Upsolve AI provides seamless embedding and API integration, making it suitable for applications requiring quick deployment of analytics features.

Pricing:

  • Some users find GoodData's pricing to be on the higher side, especially for small businesses.

  • Upsolve offers tiered pricing plans, starting at $500/month, which may be more accessible for startups and smaller teams.

Support and Resources:

  • GoodData users appreciate the responsive customer support and comprehensive documentation available.

  • Upsolve, being a newer entrant, has limited user reviews, but its available resources focus on simplifying the analytics deployment process

Here’s a table comparing GoodData vs UpSolve:

Feature

GoodData

Upsolve AI

Winner

Ease of Use

Users find it intuitive with a clean interface, though some note a learning curve for complex tasks.

Designed for simplicity with a drag-and-drop interface, catering to non-technical users.

Upsolve AI

Customization

Offers extensive customization options for dashboards and reports.

Provides customizable dashboards, though with fewer options compared to GoodData.

GoodData

Data Integration

Supports integration with various data sources, including manual and automatic uploads.

Integrates with platforms like Google BigQuery, Databricks, MySQL, PostgreSQL, Snowflake, and SQL Server.

Tie

Pricing

Some users find it expensive, especially for smaller businesses.

Offers tiered pricing plans, starting at $500/month, which may be more accessible for startups.

Upsolve AI

Support and Resources

Users appreciate responsive customer support and comprehensive documentation.

Being newer, has limited user reviews, but focuses on simplifying analytics deployment.

GoodData

Is GoodData the Right Choice for Your Team?

GoodData is best for enterprise-level teams seeking to:

  • Embed analytics into their offerings

  • Manage multi-tenant environments, and

  • Develop custom data apps

Companies like Fourth have reported a 117% ROI within 2.4 years of implementing GoodData, highlighting potential for cost savings and efficiency gains.

One thing that stands out in user reviews is the platform's ability to deploy solutions quickly, sometimes in as little as five days, allowing for faster time-to-value.

However, teams should be prepared to invest in initial setup and training to fully leverage the platform's capabilities.

How do GoodData Reviews Sum Up?

In glossary, here’s how GoodData user reviews sum up in 2025:

  • User Satisfaction: GoodData holds an average rating of 4.2 out of 5 on G2, with 83% of users recommending the product.

  • Customer Loyalty: According to Info-Tech, 96% of users plan to renew their subscription, indicating strong customer loyalty.

If we categorize role-wise usage of GoodData:

✅ Best For:

  • Product Managers in SaaS Companies: Those needing to embed dashboards into their applications for client-facing analytics.GoodData

  • Data Analysts in Mid-Market Firms: Teams requiring customizable dashboards and robust data integration capabilities.

  • Business Intelligence Teams in Enterprises: Organizations looking for scalable solutions to handle large volumes of data across multiple departments.

❌ Not Ideal For:

  • Small Businesses with Limited Budgets: Companies that may find the pricing structure challenging, especially when needing advanced features.

  • Non-Technical Users Seeking Simplicity: Individuals or teams without technical backgrounds who may find the learning curve steep.

  • Organizations Requiring Extensive Custom Visualizations: Businesses needing a wide variety of chart types and visual customization options may find limitations.

Key Takeaways

  • Hire once: Add an employee in Payroll and they’re synced to Time automatically.

  • A named manager, clear escalation paths with time commitments.

  • Reconcile faster: Payment deposits and fees auto‑post to your GL.

  • Hire once: Add an employee in Payroll and they’re synced to Time automatically.

  • A named manager, clear escalation paths with time commitments.

  • Reconcile faster: Payment deposits and fees auto‑post to your GL.

Pros

  • Hire once: Add an employee in Payroll and they’re synced to Time automatically.

  • A named manager, clear escalation paths with time commitments.

  • Reconcile faster: Payment deposits and fees auto‑post to your GL.

Cons

  • Hire once: Add an employee in Payroll and they’re synced to Time automatically.

  • A named manager, clear escalation paths with time commitments.

  • Reconcile faster: Payment deposits and fees auto‑post to your GL.

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