63 Ratings
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Score 8.5 out of 100
6 Ratings
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Score 8.8 out of 100

Attribute Ratings

  • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Usability
  • IBM Watson Visual Recognition is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.7

Databricks Lakehouse Platform

87%
15 Ratings
9.0

IBM Watson Visual Recognition

90%
2 Ratings

Usability

9.0

Databricks Lakehouse Platform

90%
3 Ratings
6.0

IBM Watson Visual Recognition

60%
1 Rating

Support Rating

7.6

Databricks Lakehouse Platform

76%
2 Ratings

IBM Watson Visual Recognition

N/A
0 Ratings

Contract Terms and Pricing Model

8.0

Databricks Lakehouse Platform

80%
1 Rating

IBM Watson Visual Recognition

N/A
0 Ratings

Professional Services

10.0

Databricks Lakehouse Platform

100%
1 Rating

IBM Watson Visual Recognition

N/A
0 Ratings

Likelihood to Recommend

Databricks

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.
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IBM

As I mentioned before, it can only be employed in simple basic visual recognition applications. It can be employed in large projects and relying it on completely is not encouraged. It's better to create your own algorithms rather than using it. If you are from a non-programming background, then I may suggest you rely on this and use it to develop simple apps that can predict a few plants and animals.
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Pros

Databricks

  • 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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IBM

  • Food recognition
  • High reliability
  • Speed
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Cons

Databricks

  • 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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IBM

  • Not perfect
  • Accuracy is doubted and sometimes it may not predict correctly.
  • I think it should be improved and should add a few more functionalities.
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Pricing Details

Databricks Lakehouse Platform

Starting Price

$0.07 Per DBU

Editions & Modules

Databricks Lakehouse Platform editions and modules pricing
EditionModules
Standard$0.071
Premium$0.102
Enterprise$0.133

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

IBM Watson Visual Recognition

Starting Price

Editions & Modules

IBM Watson Visual Recognition editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Usability

    Databricks

    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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    IBM

    I am giving this rating on the basis of its usability in real-time applications and based on the interface to upload negative and positive images to train the AI. But it's not perfect and sometimes its predictions are wrong. On overall usability, it's better if you are planning on working with UI rather than using complex programs and algorithms on your own.
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    Support Rating

    Databricks

    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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    IBM

    No answers on this topic

    Alternatives Considered

    Databricks

    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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    IBM

    No answers on this topic

    Contract Terms and Pricing Model

    Databricks

    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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    IBM

    No answers on this topic

    Professional Services

    Databricks

    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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    IBM

    No answers on this topic

    Return on Investment

    Databricks

    • 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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    IBM

    • High cost if models are trained
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