Compare Databricks vs. Google Cloud Datalab

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Databricks Logo
26,662 views|22,400 comparisons
Google Cloud Datalab Logo
3,078 views|2,698 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2021.
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

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

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Cons
"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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"The interface should be more user-friendly."

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Pricing and Cost Advice
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""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."

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Questions from the Community
Top Answer: The initial setup is pretty easy.
Top Answer: I can't speak on pricing of the solution. It's not an aspect of the solution I deal with directly.
Top Answer: The product is quite ambitious. It's trying to become a centralized platform for all data ingestion, transformation, and analytics needs. It may encounter a stiff competition from best of breed… more »
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Ranking
2nd
Views
26,662
Comparisons
22,400
Reviews
22
Average Words per Review
571
Rating
8.1
19th
Views
3,078
Comparisons
2,698
Reviews
1
Average Words per Review
303
Rating
8.0
Popular Comparisons
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
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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.

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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 Firm25%
Energy/Utilities Company13%
Consumer Goods Company13%
Retailer13%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider15%
Financial Services Firm7%
Media Company6%
VISITORS READING REVIEWS
Comms Service Provider25%
Computer Software Company21%
Financial Services Firm12%
Retailer8%
Company Size
REVIEWERS
Small Business14%
Midsize Enterprise23%
Large Enterprise64%
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise22%
Large Enterprise65%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2021.
521,690 professionals have used our research since 2012.

Databricks is ranked 2nd in Data Science Platforms with 22 reviews while Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review. Databricks is rated 8.0, 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 Domino Data Science Platform, whereas Google Cloud Datalab is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench, MathWorks Matlab and KNIME.

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