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: December 2025).

Google Cloud Datalab vs. Sisense

December 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

17th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (19th)

Sisense

Ranking in Data Visualization

13th

Average Rating

8.8

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (17th), Cloud Analytics (5th), Reporting (14th), Embedded BI (7th)

Mindshare comparison

As of January 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.1%, up from 0.5% compared to the previous year. The mindshare of Sisense is 2.2%, down from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Sisense	2.2%
Google Cloud Datalab	1.1%
Other	96.7%

Data Visualization

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

dashboards are good and data visualization is more meaningful for the end-user

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 forcing your database with over a billion records, it can be tough for the end-user to manage the data. You need to have a single entity system in each environment. It's not because of GCP, but it would be great to have options like MongoDB or other similar tools in GCP. Then, we wouldn't always need to connect to the cloud and execute SQL queries. Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated. Once the data is collected, it should be easily sorted.

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Vishal Halbe

System Integration Specialist at a non-profit with self employed

Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders

Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.

Read full review

Quotes from Members

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

Pros

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

"Google Cloud Datalab is very customizable."

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

"The APIs are valuable."

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

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

"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."

"The solution's technical support team is good."

"I have found the dashboard creating feature helpful."

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

"The Sisense solution was very easy to set up, and its visualizations were effective."

"No issues with stability. It is a very stable solution."

"Sisense positively impacts our organization by speeding up the process of getting and presenting the data to customers or stakeholders, which normally takes a lot of time due to curation and presentation efforts."

"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."

More Sisense pros

Cons

"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 the graphical user interface. So that the initial user would use it properly, that would be a good option."

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

"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."

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

"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."

"The administrative side of Sisense is a little cumbersome and confusing."

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

"Sisense is not able to handle three-dimensional data."

"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."

"The solution's setup process could be easier."

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

"I would like to see more development and growth for the support of Knowledge Base and Community forums."

More Sisense cons

Pricing and Cost Advice

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

"The product is cheap."

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

"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

25%

Computer Software Company

10%

University

Manufacturing Company

Financial Services Firm

15%

Government

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	7
Large Enterprise	11

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?

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?

What is your primary use case for Sisense?

Sisense was used for one of our clients to enable analytics and dashboards for their applications, which were supposed to get the data from different partners for that specific client. Sisense is w...

What is your experience regarding pricing and costs for Sisense?

My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.

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Product Reports

Download Google Cloud Datalab product report

Google Cloud Datalab

January 2026

Download Sisense product report

January 2026

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