What users are saying about
49 Ratings
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Score 8.7 out of 100
10 Ratings
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Score 8.1 out of 100

Feature Set Ratings

    Project Management

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    7.4

    Hive

    74%
    Hive ranks higher in 14/14 features

    Task Management

    N/A
    0 Ratings
    8.9
    89%
    6 Ratings

    Resource Management

    N/A
    0 Ratings
    7.5
    75%
    6 Ratings

    Gantt Charts

    N/A
    0 Ratings
    8.3
    83%
    6 Ratings

    Scheduling

    N/A
    0 Ratings
    8.1
    81%
    5 Ratings

    Workflow Automation

    N/A
    0 Ratings
    8.0
    80%
    5 Ratings

    Team Collaboration

    N/A
    0 Ratings
    7.5
    75%
    6 Ratings

    Support for Agile Methodology

    N/A
    0 Ratings
    7.8
    78%
    4 Ratings

    Support for Waterfall Methodology

    N/A
    0 Ratings
    7.2
    72%
    3 Ratings

    Document Management

    N/A
    0 Ratings
    8.1
    81%
    4 Ratings

    Email integration

    N/A
    0 Ratings
    7.5
    75%
    5 Ratings

    Mobile Access

    N/A
    0 Ratings
    5.3
    53%
    4 Ratings

    Timesheet Tracking

    N/A
    0 Ratings
    6.3
    63%
    4 Ratings

    Change request and Case Management

    N/A
    0 Ratings
    7.0
    70%
    4 Ratings

    Budget and Expense Management

    N/A
    0 Ratings
    6.1
    61%
    4 Ratings

    Professional Services Automation

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    6.0

    Hive

    60%
    Hive ranks higher in 4/4 features

    Quotes/estimates

    N/A
    0 Ratings
    6.4
    64%
    3 Ratings

    Invoicing

    N/A
    0 Ratings
    6.0
    60%
    3 Ratings

    Project & financial reporting

    N/A
    0 Ratings
    6.1
    61%
    3 Ratings

    Integration with accounting software

    N/A
    0 Ratings
    5.5
    55%
    4 Ratings

    Attribute Ratings

    • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Likelihood to Recommend
    • Hive is rated higher in 1 area: Support Rating
    • Databricks Lakehouse Platform (Unified Analytics Platform) and Hive are tied in 1 area: Usability

    Likelihood to Recommend

    8.7

    Databricks Lakehouse Platform

    87%
    15 Ratings
    8.1

    Hive

    81%
    6 Ratings

    Usability

    9.0

    Databricks Lakehouse Platform

    90%
    3 Ratings
    9.0

    Hive

    90%
    1 Rating

    Support Rating

    7.5

    Databricks Lakehouse Platform

    75%
    2 Ratings
    9.5

    Hive

    95%
    6 Ratings

    Contract Terms and Pricing Model

    8.0

    Databricks Lakehouse Platform

    80%
    1 Rating

    Hive

    N/A
    0 Ratings

    Professional Services

    10.0

    Databricks Lakehouse Platform

    100%
    1 Rating

    Hive

    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

    Hive

    Hive will fit right in to any workflow that manages multiple projects. It's also a great fit for collaboration on a per-project basis as external users can collaborate with paid users. Across a very large team it would take more planning on how to fit multiple workflows and groups into the workspace but it can be done.
    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

    Hive

    • I am able to assign projects to specific individuals.
    • We are able to comment on projects with each other through Hive.
    • I can forward emails directly to Hive to create projects.
    Tera Ogorzalek | 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

    Hive

    • You can't move urgent actions to the top.
    • It takes a little too much time to load up on the desktop version.
    • There's definitely room for improvement in keyboard shortcuts.
    Anonymous | 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

    Hive

    General

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

    Starting Price

    $19 per month per user

    Hive Editions & Modules

    Edition
    Lite19.001
    Pro49.001
    Elite69.001
    1. per month per user
    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

    Hive

    Hive 9.0
    Based on 1 answer
    I love Hive so much because it has made a huge difference regarding team communication and project management at the same time. We experienced almost no bugs and in the few cases that we did have some trouble, the customer service team was very responsive and solved our problems very quickly.
    Anonymous | 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

    Hive

    Hive 9.5
    Based on 6 answers
    Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.
    Anonymous | 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

    Hive

    I would say that in comparison to Asana, Hive is a better interface an UI. I think Asana is more robust in terms of what it can do in conjunction with Confluence but I think Hive is a better entry-level model for new employees. Hive is much simpler and more straight forward and its integration with Slack is preferred.
    John Bianchi | 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

    Hive

    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

    Hive

    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

    Hive

    • Positive ROI comes from our whole team being on the same board. We used to have separate boards for each group.
    Cameron Michael Rhoads | TrustRadius Reviewer

    Screenshots

    Databricks Lakehouse Platform

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