What users are saying about
36 Ratings
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Score 8.9 out of 100
61 Ratings
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Score 8.7 out of 100

Attribute Ratings

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

Likelihood to Recommend

9.0

Azure HDInsight

90%
5 Ratings
8.7

Databricks Lakehouse Platform

87%
15 Ratings

Usability

8.8

Azure HDInsight

88%
4 Ratings
9.0

Databricks Lakehouse Platform

90%
3 Ratings

Support Rating

8.8

Azure HDInsight

88%
4 Ratings
7.6

Databricks Lakehouse Platform

76%
2 Ratings

Contract Terms and Pricing Model

Azure HDInsight

N/A
0 Ratings
8.0

Databricks Lakehouse Platform

80%
1 Rating

Professional Services

Azure HDInsight

N/A
0 Ratings
10.0

Databricks Lakehouse Platform

100%
1 Rating

Likelihood to Recommend

Microsoft

If you want to save costs and just pay for what you use, I highly recommend it. It will help you also to work with data for your reports and analytics. on the other hand I think it could be the subscription you have but high volume of data make it slow but not so much. anyway I think it's really good because it's from Microsoft which always is friendly to use it as all the suit they have.
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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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Pros

Microsoft

  • Data is presented without interfering others (IT or other dept).
  • Data is managed properly and is available for retrievable any time.
  • Legacy use of CD/DVD and Pendrive are not required.
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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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Cons

Microsoft

  • The only problem I have come across is when loading large volumes of data I sometimes get an error message, I assume this means something is corrupt from within. I would love a way for this to be resolved without having to start over.
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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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Pricing Details

Azure HDInsight

Starting Price

Editions & Modules

Azure HDInsight 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

    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

    Usability

    Microsoft

    Azure HDInsight is usable on the top of Azure Data Lake and gives us the benefit of analyzing large scale data workload in Hadoop. Usability and support from Microsoft are outstanding.
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    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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    Support Rating

    Microsoft

    I highly recommend it.
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    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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    Alternatives Considered

    Microsoft

    At this time I have not used any other similar products... I am open to it but Azure HDInsight and its components really work well for our organization.
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    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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    Contract Terms and Pricing Model

    Microsoft

    No answers on this topic

    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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    Professional Services

    Microsoft

    No answers on this topic

    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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    Return on Investment

    Microsoft

    • Less implementation cost.
    • No hosting services cost.
    • Faster data retrieval.
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    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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