Databricks 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
Score 9.7 out of 10
N/A
QGIS (formerly Quantum GIS) is a free and open source geographic information system.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
