Oracle’s Enterprise Manager is an on-premises monitoring and management tool. The console is designed primarily to manage other Oracle products, it but can integrate to manage non-Oracle components as well.
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SAS Enterprise Guide
Score 9.4 out of 10
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SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
OEM is very well suited for all Oracle products, especially Oracle databases and Exadata machines; even not Oracle hardware, it is very good and displaying high level details. OEM is not well suited for older hardware vendors like AIX, HP-UX, DEC/Digital, Microsoft (sql server). This is a big negative as most large companies have a heterogeneous environment with many different vendor hardware and (database) software products.
SAS Enterprise Guide is good at taking various datasets and giving analyst/user ability to do some transformations without substantial amounts of code. Once the data is inside SAS, the memory of it is very efficient. Using SAS for data analysis can be helpful. It will give good statistics for you, and it has a robust set of functions that aid analysis.
Monitoring Templates: There are out of box monitoring templates for each target types, you can customize them or use them as it is.
Administrative Groups: This is a relatively new feature in OEM Cloud Control. This lets you create and manage your targets and monitoring templates smarter and with less re-work.
DB Monitoring: There are so many cool DB monitoring features and visual graphics, that it can be used by both DBA and functional people to see what's going on in the database.
Bugs. Every version we upgrade to has a number of bugs. Some stop us from rolling to production OEM (we have a sandbox OEM), some are simply annoying. If I could improve on one thing, it would be for better QA from oracle before releasing each version.
Flash. I'm told that they are moving from Flash to Jet in version 13.3 and beyond (we are on 13.2 currently). That change cannot come soon enough. The OEM pages load SO slowly due to Flash.
Hierarchy Groups. OEM allows five Hierarchy groups. A Hierarchy group allows a top down metric/rule roll out. However, they limit you to five. I'd like to see them open that up, so that we can have any number of custom groups.
Process time of data is a bit long. It depends on the size of your data and complexity of your project tree.
There is not enough online free training videos.
While working with the project tree sometimes the links between the modules are broken or the order for running the modules get mixed up. You should know your project tree by heart.
It's great! It does everything and anything you would want it to do. It can monitor things which doesn't comes out of the box by adding plug ins to it, for example, you can even monitor Oracle GoldenGate Replication by adding a plug-in to OEM Cloud Control.
It's not all bad, but I don't believe that an enterprise purchase of SAS is worth the expense considering the widely available set of tools in the data analytics space at the moment. In my company, it's a good tool because others use it. Otherwise, I wouldn't purchase a new set of it because it doesn't have some of the better analytical functions in it.
I still rate OEM as a must-have tool for central management of Oracle fleet. The pros and cons of the product is prominent. Meanwhile, I also acknowledge that OEM was design about a decade ago. At that time, it did not have the landscape we have today, such as cloud, DEVOPS, machine learning, etc. I hope in future releases, the design will incorporate those features.
Although I use SAS support for information on functions, these are SAS related and haven't really come across anything that is specifically for SAS EG.
I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.
Being an Oracle shop using Oracle Database and MySQL, management console from Oracle was a better choice than IBM or Microsoft even though we do use Microsoft Azure and storage/servers from IBM (on-prem).
Why I prefer SAS EG: Data processing speed is much faster than that R Studio. It can load any amount of data and any type of data like structured or unstructured or semi-structured. Its output delivery system by which we have the output in PDF file makes it very comfortable to use and share that file to clients very easily. Inbuilt functions are very powerful and plentiful. Facility of writing macros makes it far away from its competitors.
We are a 7x24 shop. Oracle Enterprise Manager Cloud Control helps us meet that objective by proactively warning us before issues cause down time. Things like disk space, archive log issues or temporary table space issues.
Spreading the use of this tool outside of the DBA group has allowed us to not hire additional personnel for those teams. Over time, as folks have retired from our operations team, we are not replacing them. Instead we have used OEM Cloud Control to automate tasks.
We also now have the tools to measure up-time by using specific measurements inside of OEM. This allows us to report real numbers to management.
Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.
