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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Databricks Data Intelligence Platform

    Score9 out of 10
    N/ADatabricks offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service provides a platform for data pipelines, data lakes, and data platforms.

    $0.07

    Per DBU

    QGIS

    Score7.6 out of 10
    N/AQGIS (formerly Quantum GIS) is a free and open source geographic information system.N/A
    Pricing
    Databricks Data Intelligence PlatformQGIS
    Editions & Modules
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    QGIS
    Free
    Offerings
    Pricing Offerings
    Databricks Data Intelligence PlatformQGIS
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Databricks Data Intelligence PlatformQGIS
    Considered Both Products
    Databricks
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    16 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    100%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    94%
    Happy with the feature set
    15 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    No answers on this topic
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    5 Answers
    Best Alternatives
    Databricks Data Intelligence PlatformQGIS
    Small Businesses
    No answers on this topic
    ArcGIS
    Score7.8 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    ArcGIS
    Score7.8 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    ArcGIS
    Score7.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Databricks Data Intelligence PlatformQGIS
    Likelihood to Recommend
    9.4
    (21 ratings)
    9.8
    (12 ratings)
    Usability
    9.7
    (7 ratings)
    8.0
    (1 ratings)
    Support Rating
    8.7
    (2 ratings)
    8.0
    (2 ratings)
    Contract Terms and Pricing Model
    8.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Databricks Data Intelligence PlatformQGIS
    Likelihood to Recommend
    Databricks
    Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.
    Incentivized
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    Open Source
    Well suited:
    • To build beautiful and dynamic maps quickly.
    • To conduct quantitative and qualitative analyses.
    • To work cross-platform, as both the Windows version and the Linux version are identical in appearance and available resources.
    Less appropriate:
    • To use and import files from proprietary software such as ArcGIS and AutoCAD.
    Incentivized
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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
    Incentivized
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    Open Source
    • Styling: the styling engine is fantastic with raster styling features that I recognize from apps like Photoshop.
    • Print layouts: I can set up custom print layouts, and even do automated multi-page atlas style reports that I use for cycling through detailed areas when providing my clients with pdf reports.
    • Extendable: the plugins are fantastic, and almost anything I need that isn't provided natively with QGIS is available as a plugin.
    • Community: the QGIS community is passionate about GIS, and are always ready to help. There are great training resources available online.
    Incentivized
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    Cons
    Databricks
    • Sometimes, when multiple jobs depend on each other in different environments, it is not always easy to see the full workflow in one place.
    • It is sometimes difficult to determine which job or cluster contributes more to the overall cost.
    • For beginners, cluster configuration may be a little difficult. So more recommendation in the platform can help.
    Incentivized
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    Open Source
    • Making maps in QGIS is a bit clunky. I also find it to be extremely unintuitive. For basic GIS, it is great, but I would much rather make maps (for publication purposes) in ArcGIS.
    • Editing and adding feature layers is not very intuitive. Changing colors of added point or line features is a rather convoluted process.
    • ArcGIS has a huge selection of online courses, and if you have the appropriate license, you can access most for free. I found these to be very helpful when dealing with map projections and other issues. However, QGIS does not have a large library of courses specifically made for that program.
    Incentivized
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    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
    Incentivized
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    Open Source
    I wasn't a GIS user at all when I started using QGIS, nor did I have any background working with data in anything other than Excel, and as a result, I struggled quite a lot in the beginning (it's not quite Google Maps). But having said that, I haven't come across anything that I couldn't do with a little help from the online community. I've done complex spatial analyses on large datasets of metropolitan cities, designed custom multi-page pdf reports that automatically cycle through different areas of an area, etc.
    And the GIS staff that I've appointed, after their initial resistance, took to the tool like a fish to water, and I haven't heard them complain after starting to use the tool for a week or two.
    But if you're new to GIS, be patient and invest some time to learn how to use the tool. It is absolutely worth it.
    Incentivized
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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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    Open Source
    Even though there is a no dedicated support team for QGIS (or at least we are not aware of it), there is a huge online community and a large number of forums catering to every question you may have regarding any particular functionality of QGIS. So, you have a lot of help available but you will have to sift through it on the web.
    Incentivized
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    Alternatives Considered
    Databricks
    The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.
    Incentivized
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    Open Source
    QGIS is open source and freely available for Windows and Mac iOS Geographic Information System Software. QGIS is highly customizable as per project requirements and different application usage. QGIS has ample tools and plugins that are useful for the analysis of raster and vector data. It also supports GRASS, GDAL, and SAGA tools.
    Incentivized
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    Return on Investment
    Databricks
    • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
    • DB has the ability to terminate/time out instances which helps manage cost.
    • The ability to quickly access typical hard to build data scenarios easily is a strength.
    Incentivized
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    Open Source
    • QGIS gives us more impactful data on children and maternal health issues, which in turn has helped us establish more programs, relationships, and funding opportunities because of the excellent data presentations we can give.
    • QGIS has allowed our staff to improve their data analysis skills, improving our workforce across the board, with or without the direct use of geographic data.
    • QGIS has required a lot of staff time to learn, but the ROI on time spent vs the reports we produced afterward has been well worth it.
    Incentivized
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    ScreenShots