ELK Kibana vs Google Cloud Datalab comparison

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60% willing to recommend
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75% willing to recommend
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Executive Summary

We performed a comparison between ELK Kibana and Google Cloud Datalab based on real PeerSpot user reviews.

Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization.
To learn more, read our detailed Data Visualization Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
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 automatic update of the graphs from a dashboard is very convenient.""The optimization and flexibility of visualization tools.""Having a tool where you can find logs that were generated months ago, and being able to search over a long period of time, is great."

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"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.""Google Cloud Datalab is very customizable.""The APIs are valuable.""All of the features of this product are quite good."

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Cons
"This solution should allow the user to combine two indices into one graph.""Having a kind of wizard that would help you when you are typing your search would make it easier and quicker to refine your search, and ultimately find what you are looking for.""Security could be improved thereby avoiding the necessity of a third party plugin."

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"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.""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."

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Pricing and Cost Advice
Information Not Available
  • "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
    Unranked
    In Data Visualization
    20th
    out of 70 in Data Visualization
    Views
    232
    Comparisons
    220
    Reviews
    3
    Average Words per Review
    574
    Rating
    7.3
    Comparisons
    Learn More
    Overview

    Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack, so you can do anything from learning why you're getting paged at 2:00 a.m. to understanding the impact rain might have on your quarterly numbers.

    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
    Sprint, Grab, Volkswagen, Autopilot, Voyages-SNCF.com, Just Eat, Accenture, Dell, Verizon Wireless, Kaidee, Green Man Gaming, Compare Group, Tango, Quizlet
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider16%
    Financial Services Firm12%
    Computer Software Company11%
    Government11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Educational Organization12%
    Computer Software Company10%
    Manufacturing Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise15%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    Buyer's Guide
    Data Visualization
    April 2024
    Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    ELK Kibana doesn't meet the minimum requirements to be ranked in Data Visualization while Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews. ELK Kibana is rated 7.2, while Google Cloud Datalab is rated 7.6. The top reviewer of ELK Kibana writes "Visualization tools are optimized providing us with increased flexibility". On the other hand, the top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". ELK Kibana is most compared with Splunk Enterprise Security, whereas Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, IBM SPSS Modeler and KNIME.

    See our list of best Data Visualization vendors.

    We monitor all Data Visualization 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.