Google Cloud Datalab vs Sisense comparison

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Google Cloud Datalab

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Executive SummaryUpdated on Jan 1, 2025

Sisense and Google Cloud Datalab compete in advanced data analytics. Sisense has the upper hand in cost-effectiveness and ease of use, while Google Cloud Datalab is preferred for its extensive feature set, reflecting its higher cost.

Features: Sisense includes robust analytics, intuitive drag-and-drop functions, and advanced visualizations. Google Cloud Datalab is known for its integration capabilities, in-depth machine learning options, and customizable architecture.

Room for Improvement: Sisense could enhance its customization options and simplify integration with more external platforms. It can also broaden its machine learning capabilities. Google Cloud Datalab might reduce its complexity for easier setup, clarify documentation on infrastructure configurations, and improve response times when handling large datasets.

Ease of Deployment and Customer Service: Sisense facilitates a straightforward deployment process with additional support services, benefiting businesses of various sizes. Google Cloud Datalab, while requiring more initial setup due to its complexity, offers excellent documentation and support for detailed customization.

Pricing and ROI: Sisense attracts budget-conscious clients with a lower setup cost and quicker ROI. Google Cloud Datalab's higher initial investment is justified by its comprehensive capabilities and extensive features.

To learn more, read our detailed Google Cloud Datalab vs. Sisense Report (Updated: July 2025).

Google Cloud Datalab vs. Sisense

July 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

19th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (16th)

Sisense

Ranking in Data Visualization

15th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (19th), Cloud Analytics (6th), Reporting (14th), Embedded BI (9th)

Mindshare comparison

As of July 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.7%, up from 0.4% compared to the previous year. The mindshare of Sisense is 2.8%, down from 2.9% 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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Wiboon Thabsuwan

Senior Consultant at IMD Company Limited

Helps businesses save time and offers good integration features

I would say that using Sisense on Linux's platform might not be advantageous for everyone. I am more familiar with Windows than Linux. With Windows, the system performs very fast. Even if your data size consists of like 10,00,00,000 loads or whatever, it works very fast. When using Sisense, it is better to have some people with a very good understanding of Linux. I need more technical people who understand about Linux OS. Only two people would be enough to operate the tool.

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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

"Google Cloud Datalab is very customizable."

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

"The APIs are valuable."

"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."

"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."

"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."

"This solution is easy to learn how to use."

"The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions."

"A very simple setup: Easy to download, install, and updates are pain free."

"Allows users to build their own solutions without as much reliance on technology staff."

"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."

"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."

More Sisense pros

Cons

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

"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."

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

"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."

"The interface should be more user-friendly."

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

"I would like to see an improvement in the live data connection, specifically making the process faster."

"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."

"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"

"I would like to see an improvement in the live data connection, specifically making the process faster."

"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."

"I would say that using Sisense on Linux's platform might not be advantageous for everyone."

"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually."

"They should improve the filters to create downloaded data by moving them to the top of the dashboard."

More Sisense cons

Pricing and Cost Advice

"The product is cheap."

"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."

"Compared to Power BI or Tableau, Sisense is much more expensive."

"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

University

Retailer

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

12%

Government

University

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 needs improvement with Sisense?

I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.

What is your primary use case for Sisense?

I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to cle...

What is your experience regarding pricing and costs for Sisense?

There was no significant difference in pricing between Sisense and ThoughtSpot. They were practically dead even from a pricing perspective.

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Product Reports

Download Google Cloud Datalab product report

Google Cloud Datalab

July 2025

Download Sisense product report

June 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

Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

Sample Customers

Information Not Available

Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo