We performed a comparison between AWS Auto Scaling and Splunk Enterprise Security based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."I like the graphs provided by the tool."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"It can scale."
"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"Our internal business applications are hosted in AWS Auto Scaling."
"There are lots of free learning materials on their website."
"I like the search feature and the indexing. It's very fast and comprehensive."
"The scalability is good."
"We have found all the features useful. However, the dashboarding and logging have been very helpful. Additionally, the log analysis does a great job."
"Splunk's advantage is its search capability. Its search is notably faster. With Splunk, I can search easily on keywords. That is great."
"It allows the centralization of data and makes possible new sorts of correlations that were previously impossible using traditional SIEMs such as ArcSight or QRadar."
"It gives me notifications of notable events."
"It has quite extensive support in terms of integration. If you want to do anything, there are tools for that."
"The speed of the solution must be improved."
"The setup can be a bit complex in some situations."
"The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"In comparison to other public clouds, the product is costly."
"The billing and cost optimization of the solution could be improved."
"The solution's infrastructure scalability and elasticity could be improved."
"It could be cheaper."
"Being a SIEM solution with a centralized dashboard, we would like to have more options to customize it."
"The upgrading process could be smoother."
"Integrating tools and creating use cases could be easier. It's hard for a junior security engineer with only a couple of years of experience to write use cases. They can do it, but it's much easier in a solution like IBM QRadar. Setting conditions is like a multiple-choice type of thing. It's a more user-friendly process."
"It works as intended for us, and we are getting everything that we need out of it. If anything, its initial setup can be improved a bit."
"Sometimes, there is latency in the logs."
"An improved user interface along with multi-tenancy support would be beneficial."
"The solution could use a different licensing model."
"The GUI can be improved to include some of the capabilities that other BI solutions have."
AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while Splunk Enterprise Security is ranked 1st in Security Information and Event Management (SIEM) with 240 reviews. AWS Auto Scaling is rated 8.8, while Splunk Enterprise Security is rated 8.4. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, the top reviewer of Splunk Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". AWS Auto Scaling is most compared with , whereas Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Elastic Security and Microsoft Sentinel.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
