Google Cloud Datalab vs Zoho Analytics comparison

Google and Zoho are both solutions in the Data Visualization category. Google is ranked #26, while Zoho is ranked #9 with an average rating of 8.1. Google holds a 1.2% mindshare in DV, compared to Zoho’s 2.3% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 97% of Zoho users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

2,400 Views
1,008 Comparison Views

80% willing to recommend

Zoho Analytics

Read 34 Zoho Analytics reviews

5,404 Views
2,270 Comparison Views

97% willing to recommend

Google Cloud Datalab

Zoho Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Zoho Analytics and Google Cloud Datalab are competing products in the data analytics and visualization tools category. Zoho Analytics seems to have the upper hand in pricing and ease of use, while Google Cloud Datalab offers more robust features for advanced analytics.

Features: Zoho Analytics offers intuitive drag-and-drop reports, pre-built analytics, and a wide range of integrations that streamline reporting and insights gathering. Google Cloud Datalab provides data exploration tools, integration with Python and Jupyter Notebook, and seamless integration with Google Cloud Platform services, making it suitable for more technical analysis.

Room for Improvement: Zoho Analytics could enhance its advanced analytics capabilities, expand its integration with non-Zoho products, and improve customization options for complex reporting. Google Cloud Datalab may need simpler setup processes, more user-friendly interfaces for non-technical users, and improved pricing models to be competitive with smaller businesses.

Ease of Deployment and Customer Service: Zoho Analytics features straightforward cloud deployment with strong support, ideal for businesses seeking quick solutions. Google Cloud Datalab requires more intricate setup due to integration with Google Cloud services but benefits from robust support documentation and community assistance.

Pricing and ROI: Zoho Analytics offers competitive pricing with lower setup costs and substantial ROI for small to mid-sized businesses. Google Cloud Datalab requires a higher investment upfront but delivers significant ROI for enterprises focused on large-scale analytics through its comprehensive features.

To learn more, read our detailed Google Cloud Datalab vs. Zoho Analytics Report (Updated: June 2026).

Buyer's Guide

Google Cloud Datalab vs. Zoho Analytics

June 2026

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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

26th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (22nd)

Zoho Analytics

Ranking in Data Visualization

9th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (10th), Reporting (5th), Embedded BI (3rd)

Mindshare comparison

As of August 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.2%, up from 0.7% compared to the previous year. The mindshare of Zoho Analytics is 2.3%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Zoho Analytics	2.3%
Google Cloud Datalab	1.2%
Other	96.5%

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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Vedhanayagam R

Data Analyst at Mobolution

Has supported trend analysis and forecasting but needs major fixes in customization and reliability

There are some areas where Zoho Analytics needs improvement compared to Power BI. Uploading and interpreting data inside the interface needs enhancement. While Power BI uses Power Query, an intuitive and powerful tool that allows data manipulation in any way, Zoho Analytics has limitations. I usually prepare data in Excel before uploading it to Zoho Analytics. The charts in Zoho Analytics are not as customizable as in Power BI. While all chart types are available, they can only be modified at a basic level, not an advanced level. Though trend analysis features are provided, creating anything out of the box is challenging.

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."

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

"The APIs are valuable."

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

"We use the solution for financial and sales analytics. It brings data from our IT incident management tool. Hence, we have three business use cases for IT support, sales and financials."

"We really like that it's user friendly and has a lot of combinations and charts. They're good compared to other tools. We used a free Elastic product, comparatively, this solution is good because of their support, UI, and connecting to databases is very easy."

"The best feature is that in the same tool, we can use SQL and business intelligence capabilities."

"The data source is the most valuable feature as it can perform any function."

"As a product analyst, one of the best features in Zoho Analytics is its ability to allow stakeholders to access raw data for any kind of metric I've created, significantly reducing my dependency to share data sets repeatedly, saving a lot of time."

"Customer Service: Excellent. the support team have been very helpful, on one occasion even writing a particularly complex query for me, Technical Support: Excellent"

"It's a very strong analytics tool."

"We find Zoho Analytics easy to use, making it very beneficial for our operations."

More Zoho Analytics 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."

"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."

"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."

"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."

"I would appreciate enhanced features in Zoho Analytics that offer greater customization options."

"The hourly pricing needs improvement."

"There should be more types of graphics available for use in the reports."

"However we do not like proposed UI changes and find that in general as a vendor Zoho is rather unresponsive to feedback from its customers."

"I would let the users delete and copy as many cells as they want. It is absolutely uncomfortable for me to do it one by one."

"The platform's pricing needs improvement."

"The analytics plans are very complex because they depend on the users, while other Zoho plans operate on a per-user basis."

"I would like them to improve the AI capabilities to let it learn more, as the Ask Zia AI chatbots and AI tools that bring automated reports currently do not make sense since the reports aren't any good; most of the time, 90% of the AI-generated reports make no sense for us."

More Zoho Analytics cons

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."

"For one license the pricing is about $35 a user."

"I don't feel that price is an issue for this product."

"The tool's pricing is similar to other Zoho applications and is affordable."

"I would recommend looking at your usage and whether the Zoho One license model would work for your organisation. It is very cost effective if you use other Zoho tools."

"The product's licensing is reasonable."

"An exact ROI is hard to calculate. However, we have definitely made sales that would have been much harder, or unlikely, as a result of the speed with which we were able to prepare comprehensive analysis."

"Zoho Analytics costs $ 4,200 per month, billed yearly."

"I rate the tool's pricing seven out of ten. The licensing costs are yearly."

More Zoho Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

20%

Financial Services Firm

13%

Outsourcing Company

University

Construction Company

18%

Financial Services Firm

10%

Computer Software Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	4
Large Enterprise	5

Questions from the Community

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

Compared to other analytic tools, Zoho Analytics is cost-effective. The annual subscription cost of Zoho Analytics is equivalent to about half of the monthly cost of tools such as Tableau or Power ...

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What needs improvement with Zoho Analytics?

For our strategic initiatives, the AI functionality is not useful because it cannot provide requirement-specific insights. It only gives an overview of the report. One major issue I face in Zoho An...

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What is your primary use case for Zoho Analytics?

We are using an HRMS tool, Zoho People. We use automations for our people's convenience. We use automations in Zoho People. For insights regarding Zoho People data, we use Zoho Analytics. In the HR...

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Anaconda Business vs Google Cloud Datalab

Compared 6% of the time

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Compared 9% of the time

Microsoft Power BI vs Zoho Analytics

Compared 7% of the time

Oracle Analytics Cloud vs Zoho Analytics

Compared 6% of the time

Oracle OBIEE vs Zoho Analytics

Compared 4% of the time

Databox vs Zoho Analytics

Compared 4% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

July 2026

Download Google Cloud Datalab product report

Buyer's Guide

Zoho Analytics

July 2026

Download Zoho Analytics product report

Also Known As

No data available

Zoho Reports

Overview

Google Cloud Datalab offers an integrated environment for seamless data processing and analysis. It combines robust infrastructure with free call-up features to enhance user experience, making it a go-to choice for data-driven tasks.

Google Cloud Datalab is geared towards users seeking efficient data handling solutions. It provides a seamless setup with robust infrastructure, focusing on enhancing APIs and offering meaningful data visualization through its dashboards. Notable AI capabilities include auto-completion and data logging, although some minor configuration challenges exist. While transitioning from AWS can be complex, the platform supports dynamic data pipeline design that suits Python development, offering an end-user friendly environment.

What are the key features of Google Cloud Datalab?

Robust Infrastructure: Provides seamless setup with strong backend support.
Free Call-Up: Allows use without extra costs, enhancing accessibility.
Data Visualization: Dashboards offer meaningful insights into data trends.
AI Capabilities: Features auto-completion and data logging for efficiency.
Customizable Architecture: Adapts to different data handling needs effectively.

What benefits should users expect from Google Cloud Datalab?

Efficient Data Analysis: Streamlines exploratory data analysis in machine learning.
Enhanced API Value: API integrations add significant value to data handling.
Friendly Python Environment: Suitable for end-users looking for ease in Python development.
Adaptive Pipeline Design: Supports complex data transitions from AWS.
Global Availability: Helps overcome time lag issues with server location selection.

In specific industries, Google Cloud Datalab is instrumental in managing data analysis, machine learning exploration, and dataset preprocessing. It facilitates the transfer of workloads from AWS and ensures efficient daily data processing. Organizations benefit from its capability to provision machine learning models into Vertex AI, bolstering research and development efforts. The global availability feature plays a significant role in selecting optimal server locations, addressing time lag and connectivity challenges.

Google

Zoho Analytics provides a robust platform for data visualization and analysis, integrating seamlessly with Zoho applications and external APIs to facilitate efficient data management and reporting.

Zoho Analytics stands out with its intuitive web-based interface that simplifies creating graphs, pivot tables, and interactive dashboards. It empowers businesses with powerful AI features like Zia, supporting over 100 data connectors for comprehensive analytics. The platform enhances decision-making through predictive analysis and automation, promoting efficient teamwork and data management. While it excels in many areas, users note some limitations in data visualization and report customization, complexity in query language, and the need for better support and improved external data connectivity. Enhancements in these areas could further elevate its functionality and user satisfaction.

What features set Zoho Analytics apart?

Intuitive Graphs: Simplifies creation with a user-friendly web-based interface.
AI Features: Zia provides insights and predictive analysis.
Data Connectors: Over 100 connectors facilitate data integration.
Dashboards: Interactive designs allow customizable visualizations.
Automation: Saves time by streamlining report creation processes.

What benefits and ROI should users expect?

Efficient Data Management: Streamlines integration from multiple sources.
Enhanced Decision-Making: Predictive analytics supports strategic planning.
Time Savings: Automates complex reporting tasks, boosting productivity.

In financial, sales, and CRM analytics, Zoho Analytics is utilized for process improvement by consolidating data from sources like Zoho CRM, People, and SalesIQ. It aids organizations in forecasting, monitoring trends, optimizing operations, and analyzing HR data. Companies benefit from its ability to present real-time reports and visualizations, supporting informed business activities.

Zoho

Sample Customers

Information Not Available

Suzuki, American Pacific Mortgage, KPMG, Air Canada, University of Michigan, BricozOr, WorldWide Express, The University of Melbourne, Novartis, SAIC

Buyer's Guide

Google Cloud Datalab vs. Zoho Analytics

June 2026

Free Report: Google Cloud Datalab vs. Zoho Analytics

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