Databricks Ratings

Overall
4.7/5
Ease of Use
4.3/5
Customer Service
5/5

About Databricks

Cloud-based analytics platform for data science teams that facilitates big data processing and visualization. Learn more about Databricks

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Showing 6 of 6 reviews

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Showing 6 of 6 reviews

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Company Size
Reviewer's Role
Length of Use
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Rayla V.
Graduate Research Assistant
Higher Education, 51-200 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Features
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
August 31, 2019

“Powerful tool for dev ops of machine learning models”

OverallOverall, my experience with Databricks has been very positive. It is a powerful tool to enable data scientists without a lot of data engineering skills. However, you need to be a data scientist or machine learning engineer to be able to take advantage of its power for machine learning.
ProsI love how easy it is to deploy auto-scaling machine learning models. After a machine learning model is trained, you can just click a button to deploy the model, I believe in a container, and have it auto scale as needed. You can also specify the minimum and maximum size of the deployment to reduce costs but to keep up with the workload as necessary. It is also built around Spark, so tasks involving "big data" aren't an issue.
ConsSome of the cons are that the primary language is Java/Scala, whereas many data scientists are using python or R, which run slower on Databricks than Java and Scala. Also, the main interface via coding, which can limit a lot of citizen data scientists.
Reviewer Source 
Source: Capterra
August 31, 2019
Verified Reviewer
Management Consulting, 10,001+ employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
October 31, 2019

“Databricks Review”

OverallVery good. It made analyzing big data a lot easier
ProsThis product has democratized big data computation. Its very easy to move from any platform to this product as it supports most of the languages.
ConsNothing so far- may be cost of computation can improve over time but still an economical product to build in-house big data capability.
Reviewer Source 
Source: Capterra
October 31, 2019
Douglas F.
Senior business analyst
Financial Services, 1001-5000 employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
4/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
February 25, 2019

“Excellent for data analysis”

OverallExcellent. Very fast and easy to use. Also it is easy to get help in the documentation. No lags, and support a big number of users.
ProsThe access and manipulation of data. The software is very fast and great to manipulate and treat data. Also it is possible to build models.
ConsThe lack of options of visualization and creation of dashboards. The creation of dashboards is possible, but is not intuitive.
Reviewer Source 
Source: Capterra
February 25, 2019
Robert G.
DB Architect
Construction, 5001-10,000 employees
Used the software for: Less than 6 months
Overall Rating
4/5
Ease of Use
4/5
Features
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
July 23, 2019

“Great tool for the toolbox”

ProsI'm a SQL person, so being able to run big data analytics in my preferred language was quite nice. Being able to (near) seamlessly swap between Scala, SQL, and python in the same script is quite powerful. If you don't know how to do something easily in one language, do it in another and then swap back. It's pretty performant and querying non-indexed data dumped from the source systems, even if those datasets aren;t quite "big data". I found it to be quicker to dump 100mil rows of staged date from our on-prem server to the data lake and crunch it in Databricks than it was to run in SQL.
ConsI wasn't involved in the pricing piece, but from what I understand it's fairly expensive. The clusters can be spun up or down as needed, and there's a nice inactivity shutdown feature if you forget to turn off a test cluster, or something. I also had a pretty rough time getting an Azure Gen 2 Data Lake connected, but after finding the not-so-well-documented bug, it wasn't a big deal.
Reviewer Source 
Source: Capterra
July 23, 2019
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Balashowry Preetam S.
data scientist
Information Services, 10,001+ employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
February 1, 2019

“Good portal for data science related work”

ProsI like the portal page, which connects all Azure subscriptions.
ConsIt can be difficult to understand, and not much tutorial is available.
Reviewer Source 
Source: Capterra
February 1, 2019
Dan S.
SA
Gambling & Casinos, 10,001+ employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Features
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
September 30, 2019

“Databricks Review”

OverallDatabricks was chosen as part of a new cloud based data platform. Engagement from the company could be better, however the product itself does the job
ProsEasy to use user interface Can be widely shared across an enterprise with various teams Apache Spark Cluster part of product
ConsInformation Security considerations have to be taken into account due to need for integrations with databricks VPCs when hosted in AWS
Reviewer Source 
Source: Capterra
September 30, 2019