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43 Ratings
62 Ratings
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Score 8.6 out of 100

IBM Watson Discovery

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43 Ratings
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Score 7.8 out of 100

Attribute Ratings

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

Likelihood to Recommend

8.7

Databricks Lakehouse Platform

87%
15 Ratings
7.5

IBM Watson Discovery

75%
17 Ratings

Usability

9.0

Databricks Lakehouse Platform

90%
3 Ratings
7.0

IBM Watson Discovery

70%
1 Rating

Support Rating

7.6

Databricks Lakehouse Platform

76%
2 Ratings
10.0

IBM Watson Discovery

100%
3 Ratings

Contract Terms and Pricing Model

8.0

Databricks Lakehouse Platform

80%
1 Rating

IBM Watson Discovery

N/A
0 Ratings

Professional Services

10.0

Databricks Lakehouse Platform

100%
1 Rating

IBM Watson Discovery

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

Whether using it as a standalone search tool, integrating with other IBM Watson products, or using the API to integrate with proprietary or third-party systems and applications, Watson Discovery addresses these and many other scenarios where document search is required -- understand- if here documents can be pdf, doc, txt files, websites, among other formats --, don't confuse Watson Discovery with EDRMS (Electronic document and records management system) software, Discovery goes further, allowing text search to be done within a context using natural language (NLU) and returning not only the search term but also insights and related issues. File indexing works very well, and training Discovery so that documents and technical terms are learned a bit of work, but it can be reduced by using some of the learning models already trained and available for use.
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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

  • It is an excellently fast platform with documents and the answers to queries.
  • With automation learning beneficial as it saves time.
  • When searching for a document, everything stays located and easy to find.
  • Acceptance of various documents.
  • It has a quite comfortable Technical support, always available when required.
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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

  • Yes, it is right that it saves a lot of capital by automating things but pricing is on the higher side for the IBM Watson Discovery.
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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 Discovery

Starting Price

Editions & Modules

IBM Watson Discovery 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

    Pricing Info

    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

    Powerful insights with a little bit of a learning curve
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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

    Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
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    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

    In terms of performance, IBM Watson Discovery performs well and as expected compared to competitor offerings. Search works well Web crawl, content library creation, and 3rd party integration all possible The main driver for us is that we were already using other IBM services and Discovery worked well within the Watson ecosystem.
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    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

    • It decreases the manual effort of a team to extract the data or analysis hence increasing productivity.
    • Training in this system requires lots of effort and initially takes time to get a positive impact on this product.
    • Overall this product has a positive impact on ROI as some functionality is really fast and cost-effective.
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