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Databricks vs Google Cloud Datalab comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Setup Cost

No sentiment score available
Sentiment score
7.0
Databricks pricing varies greatly based on usage and cluster type, often considered expensive with additional cloud storage costs.
No sentiment score available
 

Stability Issues

No sentiment score available
Sentiment score
7.7
Databricks is highly stable and reliable, with minimal issues reported, especially during heavy processes, and receives high user ratings.
No sentiment score available
 

Scalability Issues

No sentiment score available
Sentiment score
8.2
Databricks offers significant, praised scalability from megabytes to petabytes, supporting vertical and horizontal scaling with auto-scaling features.
No sentiment score available
 

Customer Service

No sentiment score available
Sentiment score
6.8
Databricks support is praised for technical expertise and engagement, but experiences vary due to response times and Microsoft partner handling.
No sentiment score available
 

Room For Improvement

No sentiment score available
Sentiment score
5.8
Databricks faces challenges with visualization, integration, costs, error clarity, libraries, interfaces, documentation, onboarding, automation, governance, and performance.
No sentiment score available
 

Valuable Features

No sentiment score available
Sentiment score
8.5
Databricks offers user-friendly large-scale analytics, seamless integration, versatile coding, collaborative tools, and efficient big data handling with extensive cloud support.
No sentiment score available
 

Categories and Ranking

IBM SPSS Statistics
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Ranking in Data Science Platforms
10th
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
Databricks
Ranking in Data Science Platforms
1st
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
84
Ranking in other categories
Streaming Analytics (1st)
Google Cloud Datalab
Ranking in Data Science Platforms
15th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
Data Visualization (19th)
 

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. The mindshare of Databricks is 19.1%, up from 19.1% compared to the previous year. The mindshare of Google Cloud Datalab is 1.0%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Enhancing survey analysis that provides valued insightfulness
I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.
Dunstan Matekenya - PeerSpot reviewer
Process large-scale data sets and integrates with Apache Spark with notebook environment
Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of its strengths. Another strength is that the platform makes it very easy to manage resources. For example, setting up a cluster of five or fifteen nodes is straightforward with Databricks. The notebook environment is also excellent, making it easy to perform various tasks.
Nilesh Gode - PeerSpot reviewer
Easy to setup, stable and easy to design data pipelines
The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
University
9%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
20%
Computer Software Company
14%
University
10%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analyti...
What do you like most about Google Cloud Datalab?
Google Cloud Datalab is very customizable.
What needs improvement with Google Cloud Datalab?
Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a...
What is your primary use case for Google Cloud Datalab?
It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten serv...
 

Also Known As

SPSS Statistics
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
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Learn More

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Overview

 

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
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Find out what your peers are saying about Databricks vs. Google Cloud Datalab and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.