Compare Databricks vs. Google Cloud Datalab

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Databricks Logo
17,674 views|15,203 comparisons
Google Cloud Datalab Logo
2,464 views|2,167 comparisons
Most Helpful Review
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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."

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Questions from the Community
Top Answer: The most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
Top Answer: All of the features of this product are quite good.
Top Answer: The interface should be more user-friendly. The security should be easier to set up. TensorBoard is available but it is hard to use.
Top Answer: We are using this solution to help manage personnel and to see if everyone is in the right place.
Ranking
5th
out of 58 in Data Visualization
Views
17,674
Comparisons
15,203
Reviews
13
Average Words per Review
615
Avg. Rating
8.1
11th
out of 58 in Data Visualization
Views
2,464
Comparisons
2,167
Reviews
1
Average Words per Review
303
Avg. Rating
8.0
Popular Comparisons
Compared 15% of the time.
Compared 7% of the time.
Compared 5% of the time.
Compared 7% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Learn
Databricks
Google
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
VISITORS READING REVIEWS
Computer Software Company38%
Media Company10%
Comms Service Provider9%
Government5%
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider19%
Retailer8%
Media Company6%
Find out what your peers are saying about Tableau, Qlik, Informatica and others in Data Visualization. Updated: October 2020.
441,672 professionals have used our research since 2012.
Databricks is ranked 5th in Data Visualization with 14 reviews while Google Cloud Datalab is ranked 11th in Data Visualization 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 Amazon SageMaker, Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx and KNIME, whereas Google Cloud Datalab is most compared with Amazon SageMaker, KNIME, MathWorks Matlab, Microsoft Azure Machine Learning Studio and IBM Watson Studio.

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