Google Cloud Datalab vs SAP BusinessObjects Business Intelligence comparison

Why PeerSpot?

Google and SAP are both solutions in the Data Visualization category. Google is ranked #26, while SAP is ranked #4 with an average rating of 8.3. Google holds a 1.2% mindshare in DV, compared to SAP’s 3.8% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 91% of SAP users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

2,711 Views
1,193 Comparison Views

80% willing to recommend

SAP BusinessObjects Busines...

Read 114 SAP BusinessObjects Business Intelligence reviews

14,382 Views
5,178 Comparison Views

91% willing to recommend

Google Cloud Datalab

SAP BusinessObjects Busines...

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

SAP BusinessObjects Business Intelligence and Google Cloud Datalab compete in the business intelligence domain. Google Cloud Datalab has the upper hand due to its advanced analytics and machine learning capabilities, justifying its price despite SAP's competitive pricing and support.

Features: SAP BusinessObjects Business Intelligence provides powerful reporting and analytics tools, advanced data integration capabilities, and access to extensive data processing features. It supports multiple data sources and environments, making it versatile for various business needs. Google Cloud Datalab offers strong cloud-based analytics with seamless integration into other Google services, adaptable to big data environments, and providing robust machine learning integration.

Room for Improvement: SAP BusinessObjects could enhance its machine learning integration to compete more effectively with modern tools like Google Cloud Datalab. User interface improvements and streamlined cloud integration might make the platform more appealing to cloud-centric businesses. Additionally, SAP could provide more cost-effective solutions for startups and smaller enterprises. Google Cloud Datalab could benefit from improved support and training resources. It may also enhance its deployment options for organizations preferring hybrid solutions. Further optimization of the AI capabilities would solidify its lead in advanced analytics.

Ease of Deployment and Customer Service: SAP BusinessObjects Business Intelligence offers both on-premise and cloud deployment models backed by extensive customer support and training materials. It facilitates full-service support with detailed documentation and professional assistance. Google Cloud Datalab focuses primarily on cloud deployment, leveraging the Google ecosystem to provide scalability and modern integration capabilities, though it might lack the traditional on-premise deployment options.

Pricing and ROI: SAP BusinessObjects typically involves higher initial setup costs tailored to enterprise needs, offering a detailed ROI through comprehensive data processing abilities. Its structured pricing can be beneficial for long-term enterprise projects. Google Cloud Datalab operates with a usage-based pricing model, which can lead to lower upfront costs and favorable ROI through rapid insights and analytics, suitable for organizations prioritizing quick analytical returns.

To learn more, read our detailed Google Cloud Datalab vs. SAP BusinessObjects Business Intelligence Report (Updated: September 2026).

Buyer's Guide

Google Cloud Datalab vs. SAP BusinessObjects Business Intelligence

September 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)

SAP BusinessObjects Busines...

Ranking in Data Visualization

4th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

114

Ranking in other categories

BI (Business Intelligence) Tools (5th)

Mindshare comparison

As of September 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 SAP BusinessObjects Business Intelligence is 3.8%, up from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
SAP BusinessObjects Business Intelligence	3.8%
Google Cloud Datalab	1.2%
Other	95.0%

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.

Read full review

TarunKumar7

Senior Data Engineer at LTI LATAM and Toubro Improtech

Data insights have driven faster financial forecasts and improved role-based decision making

The best features SAP BusinessObjects Business Intelligence Platform offers include cross-enterprise sharing, where sharing insights is easier and seamless across my organization, and creating role-based dashboards. The role-based dashboards help my team and organization by providing information to specific users, allowing them to make decisions more easily, anytime, anywhere, across any device. SAP BusinessObjects Business Intelligence Platform has positively impacted my organization by allowing us to perform financial reporting to make decisions faster. Since we started using SAP BusinessObjects Business Intelligence Platform, we have been able to make faster, data-driven business decisions based on actual data insights and data analysis, which has accelerated our ability to make better decisions for our business productivity.

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

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

"Google Cloud Datalab is very customizable."

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

"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."

"The setup is pretty easy. It's not hard at all."

"The most valuable SAP BusinessObjects Business Intelligence Platform feature are metadata service layers."

"It is definitely useful as an integrated platform for medium or large enterprises which require a modern information management solution."

"SAP Business Objects Data Services is user friendly and easy to learn."

"The Dynamic HTML (DHTML) client option of Webi has been enhanced adding features that were previously only available with the Java client including conditional formatting and support of XLS as a data provider."

"First of all, visualization tools, productivity, and predictive forecasting are mature."

"What I like the most about SAP BusinessObjects BI Platform is that it has significantly improved our decision-making process."

"Business analytics are the most valuable features of this solution; I don't have experience with the other functional features offered."

More SAP BusinessObjects Business Intelligence pros

Cons

"The interface should be more user-friendly."

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

"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 product must be made 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."

"It needs some improvement in its performance. I don't think it can handle huge amounts of data well when compared to other ETL tools."

"ROI for the reporting product alone, as a component in a whole stack of things contributing to ROI, is in my view a minor contributor."

"SAP BusinessObjects Business Intelligence Platform is an outdated solution that is missing many features."

"The product lacks the ability to manage universal connectivity, so it needs to be made better for users."

"Technical Support: Fair to Poor..Business Objects sometimes gets lost in the quagmire of SAP"

"The combination of Lumira along with Design Studio merger last year still needs development from a visualization standpoint."

"Its data visualization tool is not as good as Power BI and Tableau."

"I am not sure about how it supports my compliance and data governance requirements."

More SAP BusinessObjects Business Intelligence cons

Pricing and Cost Advice

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

"The product is cheap."

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

"We purchase licenses through Epic. So, we get an Epic price as opposed to the SAP price. If we were going to use other products like Webby that they offer or exclusively use BI Launch Pad, it would cost a lot because half of our employees would touch it in some fashion. So, we use Epic-Crystal integration to keep the licensing cost down. I believe the BI Launch Pad licensing is something like $800 for each, and the Crystal Report licensing is something like $500 for each, but that's not what we pay."

"Depending on your size, try to stick with SAP BusinessObjects BI Edge. Most people tend to overthink the licensing. Remember that one concurrent user means that one person can be performing a task at a given time. That does not mean that only one user can be on the system at a time, it means that only one person can be refreshing a report or designing a dashboard. There are tons of ways you can access your data or reports without consuming a license. I've seen cases where five concurrent licenses support thousands of users."

"Just work with SAP to make sure you have enough licenses but don't go overboard."

"The product's pricing falls on the spectrum's cheaper side, excluding its licensing cost. The product's pricing is good compared to other tools in the market. My company makes payments towards the licensing costs of the product on a yearly basis."

"There's no additional charge for a Development environment license, so build an additional development server."

"There is an annual license to use SAP BusinessObjects Business Intelligence Platform."

"SAP BusinessObjects Business Intelligence Platform is an expensive application."

"The price and the pricing model are fine. We find the solution does not give us a lot of additional value."

More SAP BusinessObjects Business Intelligence pricing and cost advice

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Comparison Review

it_user6663

BI Expert at a transportation company with 51-200 employees

May 25, 2013

SAP Business Objects vs. Microsoft BI

A quick look at the whole idea on another weblogs gives you a sense that all of them just talked about very brief things like report refresh feature in BO or cube feature in MS Analysis Service. I choose MS BI and I want to share my reasons and opinions on why I choose it and give you another quick…

Read full review

Top Industries

By visitors reading reviews

Construction Company

18%

Comms Service Provider

12%

Financial Services Firm

11%

Outsourcing Company

10%

Construction Company

11%

Outsourcing Company

11%

Financial Services Firm

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	34
Midsize Enterprise	20
Large Enterprise	67

Questions from the Community

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Earn 20 points

Seeking lightweight open source BI software

There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...

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Tableau vs. Business Objects - Which is a better solution for visualization and analysis?

Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...

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What is your experience regarding pricing and costs for SAP BusinessObjects Business Intelligence Platform?

SAP BTP is an expensive solution.

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Comparisons

Tableau Enterprise vs Google Cloud Datalab

Compared 7% of the time

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Compared 7% of the time

Databricks vs Google Cloud Datalab

Compared 6% of the time

Anaconda Platform vs Google Cloud Datalab

Compared 6% of the time

Dataiku vs Google Cloud Datalab

Compared 5% of the time

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SAP Business Data Cloud vs SAP BusinessObjects Business Intelligence

Compared 20% of the time

Microsoft Power BI vs SAP BusinessObjects Business Intelligence

Compared 5% of the time

Tableau Enterprise vs SAP BusinessObjects Business Intelligence

Compared 5% of the time

Oracle OBIEE vs SAP BusinessObjects Business Intelligence

Compared 4% of the time

IBM Cognos vs SAP BusinessObjects Business Intelligence

Compared 3% of the time

More SAP BusinessObjects Business Intelligence Competitors

Product Reports

Buyer's Guide

Google Cloud Datalab

September 2026

Download Google Cloud Datalab product report

Buyer's Guide

SAP BusinessObjects Business Intelligence

August 2026

SAP BusinessObjects Business Intelligence report

Download SAP BusinessObjects Business Intelligence product report

Also Known As

No data available

SAP BusinessObjects BI Platform, SAP BusinessObjects, Business Objects, SAP BusinessObjects Dashboards, SAP BusinessObjects Design Studio

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

SAP BusinessObjects Business Intelligence Platform offers powerful tools for enterprise reporting and data visualization, enhancing strategic decision-making through robust integration and secure analytics capabilities.

Designed for comprehensive enterprise reporting, SAP BusinessObjects Business Intelligence Platform integrates seamlessly with SAP ERP, supporting organizations in creating detailed financial, operational, and academic reports. The platform allows data manipulation across multiple sources using a semantic layer and provides intuitive tools like Web Intelligence and Lumira for user-driven report creation. It features centralized management, versatile connectors, and supports large-scale data analytics critical for business forecasting.

What are the key features of SAP BusinessObjects Business Intelligence Platform?

Integration Capabilities: Seamless connection with SAP ERP and various data sources.
Dynamic Scheduling: Automate report generation for timely insights.
Robust Security: Protects data with stringent security measures.
Semantic Layer: Simplifies data manipulation across sources.
Intuitive Tools: Facilitates user-driven report creation with Web Intelligence and Lumira.

What benefits should be considered in reviews?

Comprehensive Reporting: Enables detailed and accurate enterprise reports.
Decision-Making Support: Enhances strategic decisions with reliable data.
Scalability: Efficiently manages large-scale and complex data analytics.
Versatility in Analysis: Offers flexibility for ad hoc analysis and KPI monitoring.

Organizations across sectors like healthcare, education, insurance, and retail leverage SAP BusinessObjects Business Intelligence Platform for its capability in facilitating detailed reports and integrating dashboards for key performance indicators. Its extensive reporting features support in-depth analytics vital for business prediction and decision-making processes.

SAP

Sample Customers

Information Not Available

SRAM, Kennametal, Fairfax Water, British American Tobacco, Velux, and FedEx.

Buyer's Guide

Google Cloud Datalab vs. SAP BusinessObjects Business Intelligence

September 2026

Free Report: Google Cloud Datalab vs. SAP BusinessObjects Business Intelligence

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