What users are saying about
50 Ratings
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Score 8.7 out of 100
17 Ratings
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Score 8.2 out of 100

Attribute Ratings

  • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 2 areas: Likelihood to Recommend, Usability
  • Keras is rated higher in 1 area: Support Rating

Likelihood to Recommend

8.7

Databricks Lakehouse Platform

87%
15 Ratings
8.3

Keras

83%
6 Ratings

Usability

9.0

Databricks Lakehouse Platform

90%
3 Ratings
7.7

Keras

77%
2 Ratings

Support Rating

7.5

Databricks Lakehouse Platform

75%
2 Ratings
8.2

Keras

82%
2 Ratings

Contract Terms and Pricing Model

8.0

Databricks Lakehouse Platform

80%
1 Rating

Keras

N/A
0 Ratings

Professional Services

10.0

Databricks Lakehouse Platform

100%
1 Rating

Keras

N/A
0 Ratings

Likelihood to Recommend

Databricks Lakehouse Platform

If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
Anonymous | TrustRadius Reviewer

Keras

Keras is quite perfect, if the aim is to build the standard Deep Learning model, and materialize it to serve the real business use case, while it is not suitable if the purpose is for research and a lot of non-standard try out and customization are required, in that case either directly goes to low level TensorFlow API or Pytorch
Anonymous | TrustRadius Reviewer

Pros

Databricks Lakehouse Platform

  • 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
Anonymous | TrustRadius Reviewer

Keras

  • One of the reason to use Keras is that it is easy to use. Implementing neural network is very easy in this, with just one line of code we can add one layer in the neural network with all it's configurations.
  • It provides lot of inbuilt thing like cov2d, conv2D, maxPooling layers. So it makes fast development as you don't need to write everything on your own. It comes with lot of data processing libraries in it like one hot encoder which also makes your development easy and fast.
  • It also provides functionality to develop models on mobile device.
Gaurav Yadav | TrustRadius Reviewer

Cons

Databricks Lakehouse Platform

  • 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.
Anonymous | TrustRadius Reviewer

Keras

  • As it is a kind of wrapper library it won't allow you to modify everything of its backend
  • Unlike other deep learning libraries, it lacks a pre-defined trained model to use
  • Errors thrown are not always very useful for debugging. Sometimes it is difficult to know the root cause just with the logs
Rounak Jangir | TrustRadius Reviewer

Pricing Details

Databricks Lakehouse Platform

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
  1. Per DBU
Additional Pricing Details

Keras

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

Keras Editions & Modules

Additional Pricing Details

Usability

Databricks Lakehouse Platform

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
Anonymous | TrustRadius Reviewer

Keras

Keras 7.7
Based on 2 answers
I am giving this rating depending on my experience so far with Keras, I didn't face any issue far. I would like to recommend it to the new developers.
Saurabh Kumar | TrustRadius Reviewer

Support Rating

Databricks Lakehouse Platform

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.
Jonatan Bouchard | TrustRadius Reviewer

Keras

Keras 8.2
Based on 2 answers
Keras have really good support along with the strong community over the internet. So in case you stuck, It won't so hard to get out from it.
Saurabh Kumar | TrustRadius Reviewer

Alternatives Considered

Databricks Lakehouse Platform

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
Anonymous | TrustRadius Reviewer

Keras

Keras is good to develop deep learning models. As compared to TensorFlow, it's easy to write code in Keras. You have more power with TensorFlow but also have a high error rate because you have to configure everything by your own. And as compared to MATLAB, I will always prefer Keras as it is easy and powerful as well.
Raghuvar Prajapati | TrustRadius Reviewer

Contract Terms and Pricing Model

Databricks Lakehouse Platform

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
Jonatan Bouchard | TrustRadius Reviewer

Keras

No score
No answers yet
No answers on this topic

Professional Services

Databricks Lakehouse Platform

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.
Jonatan Bouchard | TrustRadius Reviewer

Keras

No score
No answers yet
No answers on this topic

Return on Investment

Databricks Lakehouse Platform

  • 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.
Ann Le | TrustRadius Reviewer

Keras

  • Easy and faster way to develop neural network.
  • It would be much better if it is available in Java.
  • It doesn't allow you to modify the internal things.
Rakesh Kumar | TrustRadius Reviewer

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