Oracle Enterprise Manager vs. Amazon Redshift

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.

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If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)

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• 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.

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• [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
• [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
• [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
• [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.

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• 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.

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• We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
• Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
• Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.

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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.

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Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.

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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.

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The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support

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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).

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Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.

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Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.

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I work with OEM SCP team. They are great.

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• 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.

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• Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
• Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
• Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.

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