GoodData.AI Reviews & Insights

Score8.8 out of 10

241 Reviews and Ratings

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GoodData.AI

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Overview

Synthesised from 11 reviews | Last Published May 27, 2026

GoodData.AI is primarily leveraged by organizations to provide embedded analytics capabilities within their own platforms, delivering actionable insights directly to customers, often within specialized industry contexts. In TrustRadius reviews, its effectiveness in data visualization and reporting is widely noted, particularly its ability to connect diverse datasets and present them clearly, helping to make complex data accessible and understandable.

Reviewers frequently highlight the significant improvements in reporting speed and efficiency, with 5 of 11 reviewers noting faster insight generation and better monitoring of key financial metrics. However, some users encountered challenges with documentation complexity, limitations in data visualization types, and performance issues when handling large datasets. Overall, reviewers find GoodData.AI a powerful tool for data management and embedded analytics, despite some areas needing refinement for broader usability and scalability.

Pros

Robust data modeling and structuring features for unifying diverse datasets
Intuitive drag-and-drop user interface for dashboard navigation and creation
High degree of customization and flexibility for complex report generation
Significant improvements in reporting speed and efficiency
Strong support for embedded analytics within external platforms

Cons

Incomplete documentation and administrative complexity
Limitations in data visualization types and character restrictions in charts
Performance and speed issues when displaying large datasets
Difficulties and lack of default functions in metric creation
Limited data modeling flexibility, especially with complex join types

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GoodData.AI Reviews

102 Reviews

Good value for money but has room for improvement

Rating: 7 out of 10

Incentivized

April 13, 2026

Use Cases and Deployment Scope

We use GoodData for creating and sharing reports across company. We have several projects with multiple dashboards covering several departments and services. In marketing, we have a data model in GoodData that connects around a hundred of tables. GoodData is being used by data analysts, specialist, HR, managers and C-level positions in our company.

It adreesses our BI needs

Pros

support
easy to navigate existing dashbords

Cons

cumbersome to create metrics
limited variety of available visualisations

Likelihood to Recommend

GoodData has a very good support so you can get answers to your problems within the same day. They can help you to re-create dashboards in case of unwanted deletion. It's not very easy to learn how to work GoodData and it's not because it provides many options like other BI tools, it's just chaotic. However, the cost to value ratio is good.

Verified User

Analyst in Marketing (1001-5000 employees)

Vetted Review

1 year of experience

Getting analytics out there quickly

Rating: 8 out of 10

Incentivized

December 17, 2025

Use Cases and Deployment Scope

Used to allow customer visualizations embedded within our main platform. This means all data analytics can be viewed in a single place and consistency across customers is easy.

Removed the need for developers to re-create analytics dashboards, so data science can create analytics and developers can work on developing core functionality not copying work between platforms.

Pros

Nice range of visuals
Easy to apply consistent branding
Allows maps visuals to be used effectively

Cons

Quite inflexible when you want to create custom dimensions or ranges
LDM can be difficult to work with once many data sources are introduced (circular references etc)

Likelihood to Recommend

Good for creating quick visuals and dashboards that are simple and don't require complex or on the go calculations.
Less suited to more custom work or dashboards requiring flexible filtering.

Verified User

Analyst in Professional Services (51-200 employees)

Vetted Review

2 years of experience

My Review GoodData

Rating: 10 out of 10

Incentivized

December 8, 2025

Use Cases and Deployment Scope

In my business, GoodData plays a crucial role in collecting and analyzing vast and complex data sets, necessitating the use of a third-party provider that allows our team to manage them freely and consistently. GoodData also plays a vital role in visualizing compelling and clear data, making it easy for users to understand and analyze.

Big Data and visualization Indicator

Pros

Big data management
Visualization Data
Data filter
Loading Speed

Cons

more types of data visualization
speed in displaying large data
attractive interface

Likelihood to Recommend

A very user-friendly interface with a drag-and-drop system. The database is structured and easy to understand.The speed of data display can be adjusted with metrics and filters, which users can set simultaneously without waiting for the update process. Some adjustments are needed to display data that is too large and difficult to navigate using filters.

Verified User

Analyst in Information Technology (1-10 employees)

Vetted Review

4 years of experience

Best analytics tool

Rating: 8 out of 10

Incentivized

November 20, 2025

Use Cases and Deployment Scope

Our organization wizehive uses GoodData for analytics and we love how easy it is to create visualizaions and graphs. GoodData really helps in analysing the data efficiently. The new ai integration is also a great feature to use. Just give a promt about what you want to see and it gives good results also recommends the graphs or charts to view. Happy to use GoodData.

It solves a our clients problems by aggregating whole data at a single place and analyse it efficiently.

Pros

Well structured
Organised
Useful insights

Cons

It still lacks behind with it's new ai feature. Sometimes works great and sometimes less useful responses.

Likelihood to Recommend

Well our product is all about award and grant. Our client wants to see aggregated data at a single place. Gooddata really helps there.
When customers wants to see the amount they have awarded or number of applicants in their program who hasn't submitted yet. These are some few examples.

Verified User

Engineer in Engineering (51-200 employees)

Vetted Review

1 year of experience

How To Reduce Compliance Risk for Pharmaceutical and Medical Device Companies

Rating: 9 out of 10

Incentivized

October 27, 2025

Use Cases and Deployment Scope

At [...], we are using GoodData Platform to build Embedded Analytics solution which is integrated deep into [...]'s core platform to provide regulatory intelligence, vendor quality intelligence and inspection intelligence for Pharma, pre-market and post-market intelligence in MedTech. This solution involves building key dashboards that provides insights into the world of regulatory affairs that are actionable for our customers. The analytics solution is built on top of a semantic data model that unifies compliance data streams, is well integrated with key objects in the regulatory and quality life-sciences domain, and provides inspection trends and tracks supplier quality risk. Customers at leading Pharma and MedTech companies use these insights and data intelligence to champion quality of their products and ensure safety and compliance.

The key business problems which GoodData address for us at [...], is really being able to tap onto the unified semantic data model and get data intelligence and visual insights that help our customers prepare for inspections in a fraction of the time, identify supplier risks earlier, and reduce deviations that lead to costly findings.

Pros

The source datasets are often complex, semi-structured and un-linked to key entities. With GoodData, all of these datasets are unified to serve as a central semantic data model layer, building into a galaxy schema with dimensions, bridge, and facts, which then forms the backbone that powers the [...] data intelligence cloud. Building insights and dashboards become a much easier task once the underlying data model is designed. GoodData enforces certain best practices as a BI tool, which must be adhered to get the true value of the raw data. For e.g. the source FDA dashboard may just show inspection data but the Site Profile dashboard built on GoodData goes beyond the standard information and shows more insight into site risk scores and can be drilled into details. There is blog written on this topic: [...].
GoodData provides a rich collection of visualization options that help us create compelling story-telling via dashboards. Being well-prepared for FDA inspections is essential for maintaining product quality, regulatory compliance, and avoiding serious business setbacks. FDA inspections are critical events that can shape a company’s market access and reputation. The FDA itself offers the FDA Data Dashboard, but it doesn’t make every document available. There is a blog written on this topic: [...].
Medical devices and technologies do not stop evolving after they receive regulatory approval. Once a product hits the market, it faces real-world usage, compliance challenges, and an array of regulatory scrutiny. Managing these postmarket dynamics is critical to a product’s long-term success and patient safety. However, many companies struggle to keep track of relevant events across a product’s markets, from adverse event reports to changing regulations. Postmarket Intelligence developed on GoodData platform enables us to solve that problem. It empowers MedTech companies to efficiently monitor, assess, and act on postmarket data—saving time, improving decision-making, and ensuring compliance with industry standards. Anyone who is used to trying to get the data they need from the various FDA, and other regulatory agency websites, knows that collecting, cleaning, and structuring that data takes hours. And that’s before any analysis can get done. We enable customers to free up time to focus only on the high-value analysis and subsequent recommendations to leadership, rather than wrangling the data.
The data pipeline refresh that is provided by GoodData Platform is also quite useful from data engineering perspective. The Automated Data Distribution v2 or commonly called as ADD refresh follows a set pattern of identifying the analytical data model through output stage which helps abstract the complex table definition to simpler views that can help with quick rebuild at the data warehouse level while loading the data into GoodData's ADS storage layer. The import first way of loading data into GoodData's cloud storage, followed by querying for any aggregations or metrics on the GoodData analyzer, makes this simple and fast.
GoodData's latest product i.e. Cloud also offers several good features like Analytics as Code which helps software engineering teams follow a code-first approach to analytics, where building insights, dashboards or even datasets can be done in YAML templates or serviced by REST APIs. This is particularly forward thinking in the modern technology stack and evolving industry requirements. These provide seamless integration options to front-end and backend code, embedded analytics with multiple choices from HTML to React based workloads. At [...], we are currently exploring most of these features while planning for a future migration from Platform to Cloud.

Cons

GoodData's ADD load for the older product i.e. Platform has some limitations like error logging and debugging is cryptic. If orchestrated via any external tooling like Airflow or Prefect, the REST API based ADD loads sometime fails with HTTP 429 errors indicating as-if there are too many requests but in reality, it is sometimes due to GoodData server busy responding about the outcome of the past execution.
GoodData Platform's documentation though well-written sometimes lack some of the key information which could make the overall admin process a little too complex to implement. I have encountered issues trying to delete or provision workspaces, where each workspace gets tied to the parent-child hierarchy based segments and that makes the admin process operationally challenging.
There is a data limitation on the GoodData Platform wherein the maximum allowed characters that can be displayed on a tabular chart for a text field is 10000 characters. At [...], we work with lot of regulatory documents that are often 200+ pages long in their content. We summarize the content of such documents and enrich with our proprietary labels, before finally sharing with customers via dashboards. However, the limitation of characters to default 500 often requires us to ALTER DATATYPE using MAQL to be able to move up to 10000 characters to workaround. At times, even 10000 characters get trimmed and often do not get displayed on mouse-hover. Thus it impacts the customer experience when trying to perceive the dashboard. Note, if the dashboard is downloaded in excel or csv, then and only then the full content is observed.

Likelihood to Recommend

GoodData is well suited for classic business intelligence and data analytics solution involving visually driven content using charts and graphs. It's rich collection and drillable interactions make it perfect for embedded analytics where application workflow is tied to analytics. However, GoodData may not be ideal or appropriate for such solutions that require lot of textual content to be displayed with the help of tabular visuals, particularly in regulated industries where the key is in the details. This is all tied to the platform limits that force the default layout to pre-filter.

Shankar Mahindar Redica Systems

Senior Data Engineer II in Engineering at Redica Systems Inc. (51-200 employees)

Vetted Review

3 years of experience

GoodData Review

Rating: 9 out of 10

Incentivized

October 22, 2025

Use Cases and Deployment Scope

Our company is using it to provide additional reporting options and features and functionality to our clients.

It allows for dashboarding and creating ad-hoc reports on a cloud environment with near real time data.

Pros

User permissions
Automation of reporting
Flexibility

Cons

The nuances of the set up can get a little difficult to navigate
Not knowing where client responsibility ends and GoodData help is required.
Charging for time to assist with navigating the product can be a little off putting to new clients we are looking to expand to. It makes them feel like they cannot ask questions.

Likelihood to Recommend

I think for complex organizations that have a ton of different reporting needs it fits very well. It allows for customization in permissions access and automation to make it seamless to users who just need the data but not necessarily to login. I think for straightforward and smaller organizations it might be a little bit of overkill for meeting their needs.

Verified User

Director in Product Management (501-1000 employees)

Vetted Review

5 years of experience

GoodData Your go-to BI Solution

Rating: 10 out of 10

Incentivized

October 21, 2025

Use Cases and Deployment Scope

I work with [...] team and we use GoodData as our BI partner. This collaboration has been for several years now. We push the contact centre metrics to GoodData and our customers use this to optimize their contact centre operations. We have several highly valued customers which rely heavily on GoodData.

GoodData provides us a Business Intelligence service. This lets us focus on generating useful metrics but not worry about building a BI solution. This helps our customers to track their contact centre operations.

Pros

Ability to create custom metrics
The UI is very easy to use with drag and drop
Useful UI to onboard anyone easily

Cons

Introduction of AI capabilities
Easier migration to GoodData Cloud

Likelihood to Recommend

Very easy to use UI which makes our customers of different personas to easily use it. The ability to create custom metrics helps our customers to use the solution the way they want and desire. Easy onboarding and detailed public documentation helps developers as well. API documents are also well drafted and support team is always helpful.

Verified User

Engineer in Engineering (5001-10,000 employees)

Vetted Review

4 years of experience

GoodData - good value for money but, in my opinion, not the best tool on the market

Rating: 7 out of 10

Incentivized

October 21, 2025

Use Cases and Deployment Scope

We use GoodData to connect and visualise various data sets. We have several dashboards for different services, overview dashboards etc. The usage is wide across all the functions (data analysts, marketers, sales reps, managers, ). We use GoodData with an ETL tool Keboola because they have a goood integration and it's quite easy to load data from Keboola to GoodData.

Visualising data, daily check-ups, showing trends, visualising LTV, page visits and many other metrics.

Pros

Telemetry
Dashboard organization

Cons

Metrics have to be always created, there's no default like SUM(metric)
Speed
Documentation

Likelihood to Recommend

It's good for small projects with not that many metrics and reports. Managing huge projects can be cumbersome. However there's a very good technical support. They are always willing to help and they reply quite quickly. They even do backups and are willing to revert to a previous day version if needed.

Verified User

Analyst in Marketing (1001-5000 employees)

Vetted Review

1 year of experience

GoodData for embedded analytics

Rating: 8 out of 10

Incentivized

October 21, 2025

Use Cases and Deployment Scope

We use GoodData to embed analytics in our platform to deliver actionable insights for our customers.

Using GoodData allows us to devlier more meaningful insights for our customers, it has shifted the effort of developing metrics, insights, and reports away from the development team and onto the Data team allowing us to be more agile and iterate more quickly.

Pros

It is very flexible, and allows us to simplify complex SQL through the use of metrics
Security is built-in to the platform through the use of Workspaces
Analytics as code allows us to develop as a software team

Cons

More join types in the data modelling
Being able to coalesce values in the data model, without converting to a SQL model

Likelihood to Recommend

GoodData is well suited to teams that want to develop analytics as code, have in-built tenancy, and enable the data team to operate like a software engineering team with PRs, deploys from commit refs, etc

Verified User

Team Lead (51-200 employees)

Vetted Review

2 years of experience

GoodData review

Rating: 9 out of 10

Incentivized

October 17, 2025

Use Cases and Deployment Scope

We embed custom GoodData dashboards and a UI to build custom reports into our product. Pre-built dashboard cover about 80% of customer needs. The custom report builder covers the rest. Data is sent each night to GoodData, processed and available to the customer the following morning. UI allows customers to schedule emails so they get the reports in their inbox at regular intervals.

Allow customers to build their own reports.

Pros

Embedded reports - users don't sign in, the reports are seamlessly a part of our offering.
Customizable reports - huge flexibility with an easy learning curve.
Knowledgeable support - our support rep knows our data better than we do. When a bad data point comes in, he spots and fixes it before we know it is a problem.

Cons

Per customer 3rd party data. It is challenging to pull in extra data for an individual customer via automated process.
Version confusion. We integrated with an older version, wish we were using the cloud version now offered as it gets new updates, but migration to it will be a process.
Cost.

Likelihood to Recommend

If you have consistently formatted data, that you want regular reports on, plus flexibility to let end users build their own reports, GoodData is perfect. Especially if your end users are less technical. If you want to be able to embed your reporting into your app, GoodData excels, though the start up process can be involved. If your data structure varies, it could be more challenging to integrate. It may also not be worth the integration if you have people who can already run their own SQL queries.

Verified User

Professional in Customer Service (1001-5000 employees)

Vetted Review

5 years of experience

Loading Reviews List....

How To Reduce Compliance Risk for Pharmaceutical and Medical Device Companies

Rating: 9 out of 10

Incentivized

October 27, 2025

Use Cases and Deployment Scope

Pros

The source datasets are often complex, semi-structured and un-linked to key entities. With GoodData, all of these datasets are unified to serve as a central semantic data model layer, building into a galaxy schema with dimensions, bridge, and facts, which then forms the backbone that powers the [...] data intelligence cloud. Building insights and dashboards become a much easier task once the underlying data model is designed. GoodData enforces certain best practices as a BI tool, which must be adhered to get the true value of the raw data. For e.g. the source FDA dashboard may just show inspection data but the Site Profile dashboard built on GoodData goes beyond the standard information and shows more insight into site risk scores and can be drilled into details. There is blog written on this topic: [...].
GoodData provides a rich collection of visualization options that help us create compelling story-telling via dashboards. Being well-prepared for FDA inspections is essential for maintaining product quality, regulatory compliance, and avoiding serious business setbacks. FDA inspections are critical events that can shape a company’s market access and reputation. The FDA itself offers the FDA Data Dashboard, but it doesn’t make every document available. There is a blog written on this topic: [...].
Medical devices and technologies do not stop evolving after they receive regulatory approval. Once a product hits the market, it faces real-world usage, compliance challenges, and an array of regulatory scrutiny. Managing these postmarket dynamics is critical to a product’s long-term success and patient safety. However, many companies struggle to keep track of relevant events across a product’s markets, from adverse event reports to changing regulations. Postmarket Intelligence developed on GoodData platform enables us to solve that problem. It empowers MedTech companies to efficiently monitor, assess, and act on postmarket data—saving time, improving decision-making, and ensuring compliance with industry standards. Anyone who is used to trying to get the data they need from the various FDA, and other regulatory agency websites, knows that collecting, cleaning, and structuring that data takes hours. And that’s before any analysis can get done. We enable customers to free up time to focus only on the high-value analysis and subsequent recommendations to leadership, rather than wrangling the data.
The data pipeline refresh that is provided by GoodData Platform is also quite useful from data engineering perspective. The Automated Data Distribution v2 or commonly called as ADD refresh follows a set pattern of identifying the analytical data model through output stage which helps abstract the complex table definition to simpler views that can help with quick rebuild at the data warehouse level while loading the data into GoodData's ADS storage layer. The import first way of loading data into GoodData's cloud storage, followed by querying for any aggregations or metrics on the GoodData analyzer, makes this simple and fast.
GoodData's latest product i.e. Cloud also offers several good features like Analytics as Code which helps software engineering teams follow a code-first approach to analytics, where building insights, dashboards or even datasets can be done in YAML templates or serviced by REST APIs. This is particularly forward thinking in the modern technology stack and evolving industry requirements. These provide seamless integration options to front-end and backend code, embedded analytics with multiple choices from HTML to React based workloads. At [...], we are currently exploring most of these features while planning for a future migration from Platform to Cloud.

Cons

GoodData's ADD load for the older product i.e. Platform has some limitations like error logging and debugging is cryptic. If orchestrated via any external tooling like Airflow or Prefect, the REST API based ADD loads sometime fails with HTTP 429 errors indicating as-if there are too many requests but in reality, it is sometimes due to GoodData server busy responding about the outcome of the past execution.
GoodData Platform's documentation though well-written sometimes lack some of the key information which could make the overall admin process a little too complex to implement. I have encountered issues trying to delete or provision workspaces, where each workspace gets tied to the parent-child hierarchy based segments and that makes the admin process operationally challenging.
There is a data limitation on the GoodData Platform wherein the maximum allowed characters that can be displayed on a tabular chart for a text field is 10000 characters. At [...], we work with lot of regulatory documents that are often 200+ pages long in their content. We summarize the content of such documents and enrich with our proprietary labels, before finally sharing with customers via dashboards. However, the limitation of characters to default 500 often requires us to ALTER DATATYPE using MAQL to be able to move up to 10000 characters to workaround. At times, even 10000 characters get trimmed and often do not get displayed on mouse-hover. Thus it impacts the customer experience when trying to perceive the dashboard. Note, if the dashboard is downloaded in excel or csv, then and only then the full content is observed.

Likelihood to Recommend

Shankar Mahindar Redica Systems

Senior Data Engineer II in Engineering at Redica Systems Inc. (51-200 employees)

Vetted Review

3 years of experience