Domino Data Science Platform vs Google Cloud Datalab comparison

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Domino Data Lab Logo
2,664 views|2,314 comparisons
100% willing to recommend
Google Logo
1,601 views|1,469 comparisons
75% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Domino Data Science Platform and Google Cloud Datalab based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
770,616 professionals have used our research since 2012.
Featured Review
Syed-Hussain
Nilesh Gode
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The scalability of the solution is good; I'd rate it four out of five."

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"All of the features of this product are quite good.""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 infrastructure is highly reliable and efficient, contributing to a positive experience.""The APIs are valuable."

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Cons
"The predictive analysis feature needs improvement."

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"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience.""The product must be made more user-friendly.""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.""The interface should be more user-friendly."

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Pricing and Cost Advice
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  • "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."
  • More Google Cloud Datalab Pricing and Cost Advice →

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    Top Answer:Google Cloud Datalab is very customizable.
    Top Answer: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… more »
    Top Answer:Our main use cases involve transferring workloads from AWS and Univision to Google Cloud Datalab. Before coming to the setting we utilised Google Datalab for looker and handling separated tables for… more »
    Ranking
    19th
    Views
    2,664
    Comparisons
    2,314
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    15th
    Views
    1,601
    Comparisons
    1,469
    Reviews
    3
    Average Words per Review
    574
    Rating
    7.3
    Comparisons
    Also Known As
    Domino Data Lab Platform
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    Domino Data Lab
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    Overview

    Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

    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.

    Sample Customers
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Insurance Company10%
    Manufacturing Company10%
    Computer Software Company7%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Educational Organization11%
    Computer Software Company11%
    Manufacturing Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise7%
    Large Enterprise84%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise9%
    Large Enterprise67%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    770,616 professionals have used our research since 2012.

    Domino Data Science Platform is ranked 19th in Data Science Platforms while Google Cloud Datalab is ranked 15th in Data Science Platforms with 5 reviews. Domino Data Science Platform is rated 7.0, while Google Cloud Datalab is rated 7.6. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and IBM SPSS Modeler.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.