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Databricks vs Google Cloud Datalab comparison

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30,779 views|25,469 comparisons
Google Cloud Datalab Logo
3,447 views|3,034 comparisons
Featured Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
563,208 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The main features of the solution are efficiency.""It's great technology.""The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.""The time travel feature is the solution's most valuable aspect.""It can send out large data amounts.""The solution is easy to use and has a quick start-up time due to being on the cloud.""I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job.""Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."

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"All of the features of this product are quite good."

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Cons
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases.""The integration of data could be a bit better.""The initial setup is difficult.""Anyone who doesn't know SQL may find the product difficult to work with.""A lot of people are required to manage this solution.""The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.""Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists.""I have seen better user interfaces, so that is something that can be improved."

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"The interface should be more user-friendly."

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Pricing and Cost Advice
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • "There are different versions."
  • "The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
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    Questions from the Community
    Top Answer: 
    Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer: 
    We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer: 
    Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
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    Ranking
    2nd
    Views
    30,779
    Comparisons
    25,469
    Reviews
    22
    Average Words per Review
    531
    Rating
    7.9
    16th
    Views
    3,447
    Comparisons
    3,034
    Reviews
    1
    Average Words per Review
    303
    Rating
    8.0
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    Overview

    Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

    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.

    Offer
    Learn more about Databricks
    Learn more about Google Cloud Datalab
    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Information Not Available
    Top Industries
    REVIEWERS
    Financial Services Firm15%
    Computer Software Company15%
    Mining And Metals Company15%
    Energy/Utilities Company8%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider15%
    Financial Services Firm8%
    Media Company5%
    VISITORS READING REVIEWS
    Comms Service Provider25%
    Computer Software Company18%
    Financial Services Firm12%
    Retailer8%
    Company Size
    REVIEWERS
    Small Business11%
    Midsize Enterprise18%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise19%
    Large Enterprise56%
    No Data Available
    Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
    563,208 professionals have used our research since 2012.

    Databricks is ranked 2nd in Data Science Platforms with 22 reviews while Google Cloud Datalab is ranked 16th in Data Science Platforms with 1 review. Databricks is rated 7.8, while Google Cloud Datalab is rated 8.0. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, the top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dremio, whereas Google Cloud Datalab is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, Domino Data Science Platform, Cloudera Data Science Workbench and IBM SPSS Statistics.

    See our list of best Data Science Platforms vendors.

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