62 Ratings
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Score 8.6 out of 100
17 Ratings
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Score 9.4 out of 100

Attribute Ratings

  • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.7

Databricks Lakehouse Platform

87%
15 Ratings
7.2

HPE Ezmeral Data Fabric (MapR)

72%
4 Ratings

Usability

9.0

Databricks Lakehouse Platform

90%
3 Ratings

HPE Ezmeral Data Fabric (MapR)

N/A
0 Ratings

Support Rating

7.6

Databricks Lakehouse Platform

76%
2 Ratings

HPE Ezmeral Data Fabric (MapR)

N/A
0 Ratings

Contract Terms and Pricing Model

8.0

Databricks Lakehouse Platform

80%
1 Rating

HPE Ezmeral Data Fabric (MapR)

N/A
0 Ratings

Professional Services

10.0

Databricks Lakehouse Platform

100%
1 Rating

HPE Ezmeral Data Fabric (MapR)

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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Hewlett Packard Enterprise

MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals 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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Hewlett Packard Enterprise

  • MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
  • The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
  • The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.
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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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Hewlett Packard Enterprise

  • It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
  • When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
  • Sometime new ecosystem tools versions are released without proper QA.
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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

HPE Ezmeral Data Fabric (MapR)

Starting Price

Editions & Modules

HPE Ezmeral Data Fabric (MapR) 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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    Hewlett Packard Enterprise

    No answers on this topic

    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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    Hewlett Packard Enterprise

    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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    Hewlett Packard Enterprise

    I don't believe there is as much support for MapR yet compared to other more widely known products.
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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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    Hewlett Packard Enterprise

    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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    Hewlett Packard Enterprise

    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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    Hewlett Packard Enterprise

    • Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
    • MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
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