Amazon Comprehend vs Google Cloud Datalab comparison

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Amazon Web Services (AWS) Logo
1,153 views|955 comparisons
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1,680 views|1,534 comparisons
75% willing to recommend
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Executive Summary

We performed a comparison between Amazon Comprehend 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).
768,578 professionals have used our research since 2012.
Featured Review
Use Amazon Comprehend?
Nilesh Gode
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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
    21st
    Views
    1,153
    Comparisons
    955
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    Views
    1,680
    Comparisons
    1,534
    Reviews
    3
    Average Words per Review
    574
    Rating
    7.3
    Comparisons
    Learn More
    Overview

    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.

    There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale.

    Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization’s needs.

    For extracting complex medical information from unstructured text, you can use Amazon Comprehend Medical. The service can identify medical information, such as medical conditions, medications, dosages, strengths, and frequencies from a variety of sources like doctor’s notes, clinical trial reports, and patient health records. Amazon Comprehend Medical also identifies the relationship among the extracted medication and test, treatment and procedure information for easier analysis. For example, the service identifies a particular dosage, strength, and frequency related to a specific medication from unstructured clinical notes.

    Amazon Comprehend is fully managed, so there are no servers to provision, and no machine learning models to build, train, or deploy. You pay only for what you use, and there are no minimum fees and no upfront commitments.

    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
    LexisNexis, Vibes, FINRA, VidMob
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm10%
    Educational Organization8%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Educational Organization12%
    Computer Software Company10%
    Manufacturing Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise71%
    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.
    768,578 professionals have used our research since 2012.

    Amazon Comprehend is ranked 21st in Data Science Platforms while Google Cloud Datalab is ranked 14th in Data Science Platforms with 5 reviews. Amazon Comprehend is rated 0.0, while Google Cloud Datalab is rated 7.6. On the other hand, the top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". Amazon Comprehend is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and IBM Watson Studio, whereas Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench 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.