Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
Oracle Enterprise Manager
Score 7.1 out of 10
N/A
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.
N/A
Pricing
Amazon CloudWatch
Oracle Enterprise Manager
Editions & Modules
Canaries
$0.0012
per canary run
Logs - Analyze (Logs Insights queries)
$0.005
per GB of data scanned
Over 1,000,000 Metrics
$0.02
per month
Contributor Insights - Matched Log Events
$0.02
per month per one million log events that match the rule
Logs - Store (Archival)
$0.03
per GB
Next 750,000 Metrics
$0.05
per month
Next 240,000 Metrics
$0.10
per month
Alarm - Standard Resolution (60 Sec)
$0.10
per month per alarm metric
First 10,000 Metrics
$0.30
per month
Alarm - High Resolution (10 Sec)
$0.30
per month per alarm metric
Alarm - Composite
$0.50
per month per alarm
Logs - Collect (Data Ingestion)
$0.50
per GB
Contributor Insights
$0.50
per month per rule
Events - Custom
$1.00
per million events
Events - Cross-account
$1.00
per million events
CloudWatch RUM
$1
per 100k events
Dashboard
$3.00
per month per dashboard
CloudWatch Evidently - Events
$5
per 1 million events
CloudWatch Evidently - Analysis Units
$7.50
per 1 million analysis units
No answers on this topic
Offerings
Pricing Offerings
Amazon CloudWatch
Oracle Enterprise Manager
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
With Amazon CloudWatch, there is no up-front commitment or minimum fee; you simply pay for what you use. You will be charged at the end of the month for your usage.
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More Pricing Information
Community Pulse
Amazon CloudWatch
Oracle Enterprise Manager
Features
Amazon CloudWatch
Oracle Enterprise Manager
Monitoring Tasks
Comparison of Monitoring Tasks features of Product A and Product B
Amazon CloudWatch
-
Ratings
Oracle Enterprise Manager
8.2
14 Ratings
6% above category average
Remote monitoring
00 Ratings
7.713 Ratings
Network device monitoring
00 Ratings
9.09 Ratings
Multiple Server Monitoring
00 Ratings
7.914 Ratings
Multi-device monitoring
00 Ratings
7.911 Ratings
Automated alerts and notifications
00 Ratings
8.414 Ratings
Management Tasks
Comparison of Management Tasks features of Product A and Product B
Amazon CloudWatch
-
Ratings
Oracle Enterprise Manager
7.8
14 Ratings
5% above category average
Patch Management
00 Ratings
7.612 Ratings
Service configuration management
00 Ratings
9.011 Ratings
Software and hardware inventory
00 Ratings
5.813 Ratings
Policy-based automation
00 Ratings
8.811 Ratings
Reporting
Comparison of Reporting features of Product A and Product B
Amazon CloudWatch
-
Ratings
Oracle Enterprise Manager
6.7
14 Ratings
12% below category average
Performance data reports
00 Ratings
7.714 Ratings
Customizable reporting
00 Ratings
3.112 Ratings
Data visualization
00 Ratings
7.913 Ratings
Risk analysis
00 Ratings
8.010 Ratings
Security
Comparison of Security features of Product A and Product B
For out business we find that AWS Cloudwatch is good at providing real-time metrics for monitoring and analysing the performance and usage of our platform by customers. It is possible to create custom metrics from log events, such people adding items to a basket, checking out or abandoning their orders.
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.
It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.
Database status. Being able to see which databases are up/down, at a glance, allows us to quickly react to issues.
Reporting. We report on last backups, daily status, a host of metrics, and compliance levels of all our databases. With reporting we come into the office with a set of "status" reports and we know instantly if a database has issues.
Metrics. We have a number of KPI's and SLA's we need to meet. Metrics applied to the databases allow us to stay on top of those requirements as well as fix common issues without a DBA needing to log in to assess the issue.
Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.
We also use OEM to monitor SQL Server. However, OEM only provided limited features for SQL Server. It would be nice if we can schedule backup jobs for SQL Server in OEM.
The ability to run SQL queries. You can't run queries in OEM. I have to go to SQL Developer or SQL PLUS to run. queries.
It's excellent at collecting logs. It's easy to set up. The viewing & querying part could be much better, though. The query syntax takes some time to get used to, & the examples are not helpful. Also, while being great, Log Insights requires manual picking of log streams to query across every time.
Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.
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.
Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and cheaper way. Integrating Grafana with them will make it more capable Elasticsearch for log retention and querying will surpass cloudwatch log monitoring in both performance and speed
Toad for Oracle is more suited for individual users who have a strong focus on database development, and it is not as comprehensive as Oracle Enterprise Manager. While it is quite decent in logical database layer tasks, such as schema objects and SQL, it lacks visibility into host level and I/O layer performance stats.
