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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BI was used to manage our parts and machines. It can be used to manage your factory or systems to properly allocate items to select places. However the system does not respond well, and it can scale well provided you have an actual team knowledgeable in this field. Once you get it set up it works well, but of course, if you try and add new implementations, it can become hazardous to your business.
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 This software is easy to initially learn, and very powerful in producing reusable reports. It is much faster than my company's internal manual queries. The ability to build off of a saved query and share queries to other users is a great positive. My favorite part is that you can run queries in the background and it does not interfere with your current work or slow your computer down. 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 installation can be very complex and time-consuming, it requires a lot of planning and foresight as to what role the software will play in the organization. The software has a relatively large learning curve that takes dedicated users months to get comfortable with, the UI is a bit intimidating for new users. SAP could organize their help better, it can be difficult to find dependable solutions to issues via their website and support channels. Read full review Likelihood to Renew
Capacity of computing data in cluster and fast speed.
Senior Software Developer (Consultant)
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The institution has decided to move in a different direction, and will be using MSBI for reporting. I have been very happy with the Business Objects suite of tools, and will continue to use them heavily until we make the transition.
Read full review Usability
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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From a server and client side perspective. the Business Intelligence Platform provides a foundation for all aspects of content development, distribution, analysis, collaboration and self service. Ease of use from targeted content delivery through controlled accessibility. Content exporting in the format of the users choice. Scheduling for internal or external delivery. Public and private folders for secure content access when requied. Web based for viewing on the users device of choice without the need to download additional applications.
Read full review Reliability and Availability
When we implemented 3.1, we had a tough time managing the system: It took almost a year to stabilize.
With 4.0, we want to roll out to more users, and are holding back because of fears about the performance issue Read full review Performance
Overall, the tool (Web Intelligence 4.2) is fast and solid. One issue is a dependability on JAVA for a full feature report creation/edit capabilities (as opposed to limited HTML option). Second, planned end of JAVA support by major browsers (Chrome is already not supporting JAVA applet).
Read full review Support Rating
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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SAP has released various versions of SAP BO BI. starting from 3.1 and going to 4.0,4.1,4.2 and latest being 4.3. SAP provides support to these new versions. As new versions keep on coming, support for the very old software goes out of scope from SAP. it is when the different organization plans to get their BO content migrated from a lower version to a newer version. The newer version had definitely added functionality and features which ease the work of users.
Read full review In-Person Training
SAP authorized training is best, Please go ahead with it. Even lot of online training options/videos available for self learning
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I haven't used it or got feedback from the end user.
Content looks to be pretty detailed. Focused on SQL but not BW. Read full review Implementation Rating
Hire specialists and experienced staff. Mix some beginners so that everyone is not a leader but a learner too. Plan well; architect well; break down implementation in small steps and move towards larger steps. Create a centralized and authorized SAP Business Objects implementation team.
Read full review Alternatives Considered
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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Some organizations use Spotfire which is far more advanced in terms of its analytical capabilities vs. Lumira/PA etc. but the sharing/storage side of the BI Platform is far superior and much better managed. The ability to create user groups, access levels etc. on BI Platform helps to keep the platform secure.
Read full review Scalability
SAP BusinessObjects Business Intelligence (BI) Platform supports SOA Service Oriented Architecture. You can start/restart/enable/disable all the servers. You can seamless do load balancing and clustering. It supports all leading application and web server. Supports LDAP SSO integration. People who can work on excel with training they can work on SAP Business Objects Web Intelligence, dashboard, Lumira, Information design tool product suite. Tool is very user friendly and easy to learn and implement
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 By generating and distributing reports in a timely manner, we were able to save millions of dollars for the company which otherwise would not have been visible. Almost realtime dashboard, saved the company a huge amount by showing the outages and kept the company from buying a tool to do just that. It showed the customers who were not paying the bills and were missing in the system due to some loophole. This was visible by doing reporting on the theft usage of electricity. Read full review ScreenShots