Google Cloud Datalab vs Perforce PV-WAVE comparison

Google and Perforce are both solutions in the Data Visualization category. Google is ranked #17 with an average rating of 7.8, while Perforce is ranked #78. Additionally, 80% of Google users are willing to recommend the solution.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

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117 Comparison Views

80% willing to recommend

Perforce PV-WAVE

5 Views
5 Comparison Views

Google Cloud Datalab

Perforce PV-WAVE

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Executive SummaryUpdated on Mar 3, 2025

Google Cloud Datalab and Perforce PV-WAVE are competing in the data analytics space. Google Cloud Datalab has the upper hand due to its robust integration with cloud technologies, particularly benefiting environments that require scalable cloud infrastructure.

Features: Google Cloud Datalab provides seamless integration with Google's cloud services, enabling powerful machine learning and data science operations. It thrives within Google's cloud ecosystem and supports extensive analytic workflows. Perforce PV-WAVE offers comprehensive visualization tools ideal for scientific data analysis, with capabilities tailored to specific scientific and engineering industries.

Ease of Deployment and Customer Service: Google Cloud Datalab leverages a cloud-native deployment model offering flexibility and scalability, backed by Google's extensive support network. Perforce PV-WAVE may require more complex on-premise setups, making it beneficial for environments needing offline solutions, supported by specialized customer service catering to its advanced features.

Pricing and ROI: Google Cloud Datalab features a lower entry cost thanks to its cloud-based model, presenting appealing ROI for companies using cloud resources. Perforce PV-WAVE might demand higher initial investments, with its rich, specialized features possibly providing significant ROI for industries focused on detailed scientific analysis.

To learn more, read our detailed Data Visualization Report (Updated: April 2025).

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Data Visualization

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

17th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (16th)

Perforce PV-WAVE

Ranking in Data Visualization

78th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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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Top Industries

By visitors reading reviews

Financial Services Firm

21%

University

12%

Computer Software Company

10%

Manufacturing Company

No data available

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.

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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...

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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 ...

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Comparisons

IBM SPSS Statistics vs Google Cloud Datalab

Compared 45% of the time

Databricks vs Google Cloud Datalab

Compared 31% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 24% of the time

More Google Cloud Datalab Competitors

No data available

Product Reports

Buyer's Guide

Google Cloud Datalab

April 2025

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Buyer's Guide

Data Visualization

April 2025

Download Perforce PV-WAVE product report

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

Perforce PV-WAVE is a dynamic software development environment tailored for data visualization and analysis, streamlining complex data challenges efficiently.

Offering robust support for advanced data analytics and visualization, Perforce PV-WAVE empowers technical teams with the capability to process complex datasets with precision. Its flexibility allows seamless integration, driving productivity in technical environments. By leveraging its customizable tools, users can derive meaningful insights quickly, making it an essential asset for data-intensive applications.

What are the key features of Perforce PV-WAVE?

Comprehensive Data Analysis: Facilitates complex calculations and data manipulations.
Advanced Visualization Tools: Offers a range of graphs and charts for detailed data interpretation.
Custom Scripting Language: Enables the creation of tailored scripts to address specific data challenges.
Interactive Development: Allows real-time code execution and debugging for immediate feedback.
Seamless Integration: Easily incorporates existing systems and workflows.

Which benefits and ROI should users consider?

Increased Efficiency: Reduces time in data processing and analysis.
Cost-Effective: Minimizes the need for multiple analytic tools.
Scalability: Adapts to growing data demands without performance loss.
Enhanced Insights: Provides deeper understanding through detailed data visualization.

In industries such as finance, engineering, and scientific research, Perforce PV-WAVE is employed to optimize data operations and enhance decision-making processes. It supports extensive statistical analysis and modeling, crucial for sectors dealing with high volumes of technical data. By facilitating real-time data interaction, professionals across diverse fields can improve their workflow efficiency, leading to better outcomes in project management and strategic planning.

Find out what your peers are saying about Salesforce, Qlik, Splunk and others in Data Visualization. Updated: April 2025.

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