Google Cloud Datalab vs Pyramid Analytics comparison

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Google Cloud Datalab

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Executive SummaryUpdated on Jan 1, 2025

Pyramid Analytics and Google Cloud Datalab compete in data analysis and visualization, with Google Cloud Datalab having the upper hand due to its scalability and advanced features for data analysis.

Features: Pyramid Analytics includes comprehensive data modeling, integration tools, and advanced drill-down capabilities, making it effective for financial analysis. Google Cloud Datalab offers advanced machine learning capabilities, a reliable development environment, and customization options, which are advantageous for data-intensive projects.

Room for Improvement: Pyramid Analytics could improve its user interface, enhance data visualization options, and reduce complexity in interacting with various data sources. Google Cloud Datalab may benefit from addressing configuration limitations, offering more straightforward data visualization setups, and improving the transition processes between nodes to enhance reliability.

Ease of Deployment and Customer Service: Pyramid Analytics provides an intuitive deployment model with responsive customer service. Google Cloud Datalab, integrated within Google's ecosystem, offers seamless cloud setup and extensive support resources, making it attractive for cloud-first strategies.

Pricing and ROI: Pyramid Analytics requires a substantial initial investment but offers a strong ROI due to its comprehensive features. Google Cloud Datalab offers flexible pricing leveraging Google's cloud infrastructure, which may provide better scalability and ROI for cloud-centric projects.

To learn more, read our detailed Google Cloud Datalab vs. Pyramid Analytics Report (Updated: April 2025).

Google Cloud Datalab vs. Pyramid Analytics

April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Google Cloud Datalab

Ranking in Data Visualization

18th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (16th)

Pyramid Analytics

Ranking in Data Visualization

12th

Average Rating

7.6

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (16th)

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. The mindshare of Pyramid Analytics is 1.4%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

Easy to setup, stable and easy to design data pipelines

The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

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Shyam Pendyala

Manager, BI Platforms at Refinitiv, an LSEG Business at LSEG (London Stock Exchange Group)

A comprehensive and user-friendly business intelligence for enhanced data insight

When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

"For me, it has been a stable product."

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"All of the features of this product are quite good."

"The APIs are valuable."

"Google Cloud Datalab is very customizable."

"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."

"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."

"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."

"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."

"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."

"The on-premise version has quite good scalability."

"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."

"It seems quite performant in analyzing multi-dimensional information sets and presenting them."

Cons

"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."

"The interface should be more user-friendly."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

"The product must be made more user-friendly."

"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."

"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."

"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."

"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."

"I find that this is quite a heavy, time-consuming tool for developers."

"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."

"The general amount of negative comments that I am hearing from my team makes me very wary."

"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."

"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."

Pricing and Cost Advice

"It is affordable for us because we have a limited number of users."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"The product is cheap."

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

12%

University

11%

Manufacturing Company

Financial Services Firm

15%

Computer Software Company

14%

Government

12%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

What needs improvement with Google Cloud Datalab?

Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...

What is your primary use case for Google Cloud Datalab?

It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...

What do you like most about Pyramid Analytics?

The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.

What is your experience regarding pricing and costs for Pyramid Analytics?

I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...

What needs improvement with Pyramid Analytics?

Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...

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Product Reports

Download Google Cloud Datalab product report

Google Cloud Datalab

April 2025

Download Pyramid Analytics product report

March 2025

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

The BI Office from Pyramid Analytics is a web-based governed data discovery and analytics platform. It integrates the four principal functions of any comprehensive BI strategy into a single, seamless application. Users can now analyze, present, report and predict on their data in a single application. Pyramid Analytics has native apps to cover the entire mobile spectrum, iOS, Android and Windows. With BI Office users can integrate SAP data with data from other sources giving them the right tools and better data to make data-driven decisions.

Sample Customers

Information Not Available

US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University