Databricks Lakehouse Platform vs TensorFlow | TrustRadius

What users are saying about

Score 8.7 out of 10

Based on 49 reviews and ratings

Score 7.5 out of 10

Based on 40 reviews and ratings

Attribute Ratings

Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Likelihood to Recommend
TensorFlow is rated higher in 1 area: Support Rating
Databricks Lakehouse Platform (Unified Analytics Platform) and TensorFlow are tied in 1 area: Usability

Likelihood to Recommend

8.7

Databricks Lakehouse Platform

87%

15 Ratings

6.8

TensorFlow

68%

14 Ratings

Usability

9.0

Databricks Lakehouse Platform

90%

3 Ratings

9.0

TensorFlow

90%

1 Rating

Support Rating

7.5

Databricks Lakehouse Platform

75%

2 Ratings

9.1

TensorFlow

91%

4 Ratings

Implementation Rating

Databricks Lakehouse Platform

N/A

0 Ratings

8.0

TensorFlow

80%

2 Ratings

Contract Terms and Pricing Model

8.0

Databricks Lakehouse Platform

80%

1 Rating

TensorFlow

N/A

0 Ratings

Professional Services

10.0

Databricks Lakehouse Platform

100%

1 Rating

TensorFlow

N/A

0 Ratings

Pros

Process raw data in One Lake (S3) env to relational tables and views
Share notebooks with our business analysts so that they can use the queries and generate value out of the data
Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers

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Verified User

Team Lead in Engineering

Financial Services Company, 10,001+ employees

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A vast library of functions for all kinds of tasks - Text, Images, Tabular, Video etc.
Amazing community helps developers obtain knowledge faster and get unblocked in this active development space.
Integration of high-level libraries like Keras and Estimators make it really simple for a beginner to get started with neural network based models.

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Nitin Pasumarthy

Web & Network Performance

LinkedInInternet, 5001-10,000 employees

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Cons

Better Localized Testing
When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
Graphing Support went non-existent; when it was one of their compelling general engine.

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Verified User

Director in Information Technology

Financial Services Company, 201-500 employees

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RNNs are still a bit lacking, compared to Theano.
Cannot handle sequence inputs
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.

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Senior product Manager @ CVS (Aetna)

Infosys ConsultingHospital & Health Care, 10,001+ employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

$0.07 Per DBU

Databricks Lakehouse Platform Editions & Modules

Edition

Standard	$0.07¹
Premium	$0.10¹
Enterprise	$0.13¹

Per DBU

Additional Pricing Details

—

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

—

TensorFlow Editions & Modules

—

Additional Pricing Details

—

Usability

Databricks Lakehouse Platform 9.0

Based on 3 answers

Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX

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Verified User

Manager in Product Management

Financial Services Company, 201-500 employees

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TensorFlow 9.0

Based on 1 answer

Support of multiple components and ease of development.

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Founder

BrontomindsInformation Technology and Services, 1-10 employees

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Support Rating

Databricks Lakehouse Platform 7.5

Based on 2 answers

One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.

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Jonatan Bouchard

Director Data Science

CNTransportation/Trucking/Railroad, 10,001+ employees

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TensorFlow 9.1

Based on 4 answers

Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.

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Verified User

Engineer in Other

Computer Software Company, 201-500 employees

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Implementation Rating

No score

No answers yet

No answers on this topic

TensorFlow 8.0

Based on 2 answers

Use of cloud for better execution power is recommended.

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Founder

BrontomindsInformation Technology and Services, 1-10 employees

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Alternatives Considered

Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark

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Verified User

Director in Information Technology

Hospitality Company, 10,001+ employees

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Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice

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Verified User

Strategist in Information Technology

Package/Freight Delivery Company, 10,001+ employees

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Contract Terms and Pricing Model

Databricks Lakehouse Platform 8.0

Based on 1 answer

The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them

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Jonatan Bouchard

Director Data Science

CNTransportation/Trucking/Railroad, 10,001+ employees

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No score

No answers yet

No answers on this topic

Professional Services

Databricks Lakehouse Platform 10.0

Based on 1 answer

Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.

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Jonatan Bouchard

Director Data Science

CNTransportation/Trucking/Railroad, 10,001+ employees

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No score

No answers yet

No answers on this topic

Return on Investment

Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.

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Freelance Translator

ZOO Digital Group plcEntertainment, 501-1000 employees

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Learning is s bit difficult takes lot of time.
Developing or implementing the whole neural network is time consuming with this, as you have to write everything.
Once you have learned this, it make your job very easy of getting the good result.

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Software Engineer

Tata Consultancy ServicesInformation Technology and Services, 51-200 employees

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