Likelihood to Recommend
The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
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In operations we use the tool for many different topics, from factory quality systems to high level reviews. We have created kind of an internal "App Store" based on Power BI where you have a lot of different dashboards for different solutions (cost, cash, health and safety, sales, factories, distribution centers...) and you as an user just need to get in that "App Store" and enter in whatever tool can be useful for you. It is open to all the operations employees and can use on demand. Also it has raised the imagination of our colleagues, as they are not only working by themselves creating new reports, but also raising fantastic ideas that can be extended for the usage of all the community.
Read full review Pros Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues Faster in execution times compare to Hadoop and PIG Latin Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner Interoperability between SQL and Scala / Python style of munging data Read full review Quickly filter and view granular data sets with easily configurable reporting figures. The ability to quickly switch between tabs allows for historical data comparisons and progress tracking. It's helpful to dive into the data and break it down from high levels to small. Achieve actionable insights faster by using real-time data. It's incredible to have online access to reports. Read full review Cons Memory management. Very weak on that. PySpark not as robust as scala with spark. spark master HA is needed. Not as HA as it should be. Locality should not be a necessity, but does help improvement. But would prefer no locality Read full review The desktop app is great but needs a lot of performance improvements No MacOS Version for the Desktop app, this is a big limitation for business since executives prefer Macs Premium Cloud Version of Power BI is awfully expensive On-Premise Version of the Power BI Reports Server is bundled only with SQL Server Enterprise License and cannot be purchased separately and requires Software Assurance Subscription On-Premise Power BI Report Server doesn't support ADFS, AzureAD or any Claims-Based authentication platform, a sad disadvantage for enterprises Read full review Likelihood to Renew
Capacity of computing data in cluster and fast speed.
Senior Software Developer (Consultant)
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I find it helpful and easy to use
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The only thing I dislike about spark's usability is the learning curve, there are many actions and transformations, however, its wide-range of uses for ETL processing, facility to integrate and it's multi-language support make this library a powerhouse for your data science solutions. It has especially aided us with its lightning-fast processing times.
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At this point, I think we all know who has taken the lead in the business intelligence and analytics market worldwide. With fresh new updates every other day on top of an already robustly built product with all features that one can dream of is a no brainer, I feel. Microsoft will invariably be synonymous with quality and professionalism.
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1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
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I can't really speak to the support overall, [but] I will say that in the almost three years I have used the system, I have only needed to contact their support team once. I think the team was helpful, but it did take some time for us to resolve the issues/ request that they had. I guess the good news is that the system is pretty stable, and I personally have rarely needed to contact their technical support team.
Senior Customer Success Manager (Strategic Accounts)
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Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the
stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
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[Microsoft] Power BI is practical and effective, like a hammer for a nail, it is easy to use and produces very quickly the results that in most cases are urgently required by clients (nice reports to share on the web). To start using [Microsoft] Power BI you need a business email address, with that you create an account in Power BI Service and in less than 1 hour you will have installed Power BI Desktop, a report will have been created and it will have been published on the web .
Lead Consultant - Solutions Architect - Software Engineer
Read full review Return on Investment Business leaders are able to take data driven decisions Business users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be available Business is able come up with new product ideas Read full review It helps us track and achieve company goals. It shows us [our] performance in areas we could not previously track and allows us to see and work on how to improve their performance. Quick easy access for executives to use in helping teams and addressing issues. Read full review ScreenShots