Prometheus is a service monitoring and time series database, which is open source.
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Splunk AppDynamics
Score 8.2 out of 10
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AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
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Pricing
Prometheus
Splunk AppDynamics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Prometheus
Splunk AppDynamics
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Prometheus
Splunk AppDynamics
Considered Both Products
Prometheus
Verified User
Anonymous
Chose Prometheus
It is easier to setup, but learning curve is quite moderately steep. Prometheus is a best-in-class tool for engineers and SREs in cloud-native environments. When extended with tools like Thanos or Cortex, it can rival commercial platforms in scale and capability—but requires …
As I mentioned earlier, Prometheus had an added advantage that we were able to monitor CPU, RAM, Disk Space, process monitoring which other tools did not provide us Some tools were obsolete, and other were costly when we wanted this good feature , only Prometheus delivered on …
We considered TICK stack as an alternative to our Prometheus/Grafana setup that we have for capturing, storing and visualizing the time series data. But it seemed more complicated to learn and required a separate DB called InfluxDB to be setup. So, after all these considerations, …
The software is very lightweight and can be hosted with minimal resource usage. Many exporters exist for various software. Prometheus has a powerful and flexible query language (PromQL) that allows analyzing your data easy. I use this software with its various exporters, …
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with …
Since Prometheus is free to use and provides all the features we required we went with Prometheus if any feature is missing then we can consider other paid solutions like data dog.
It was easy to implement in our enviroment compared to the other products which has a lot of challenges in the POC period it self. We have been looking for a quick solution as it was implemented during COVID, hence we were trying to take advantage of this software to see how it …
Prometheus was built to monitor CLOUD infrastructure. InfluxDB also has a good design to monitor time series but does not have a design for these demands. InfluxDB would need customization to integrate with Grafana and other third-party solutions. A disadvantage of InfluxDB is …
Both were present in the toolset. Splunk Enterprise was used in more of the log observability tool than the monitoring of the service. Prometheus was used mainly on the server and services monitoring and alerting capability used to have a stable production environment. …
Out of all the products that we did POC, Prometheus was the easiest to integrate the tool with our storage grid on which some of our most business-critical application workflows run. Prometheus was not only able to solve the monitoring problem but also provided a variety of …
The installation of Nagios core is quite difficult and the whole system seems us like a huge headache for us the entire team is not much happy with Nagios core so we take the decision and switch to Prometheus and were really happy with our decision and satisfied.
prometheus brings the power of real-time graphs to the land of open source ( reference included ). It's lightweight and doesn't seem overkill if you're a startup company and do not have a heavy traffic load. Great for starting out on small to mid-scale. as traffic rises, you …
The reason Prometheus stands tall against its competitions is because it is generic. Hence, it can be used to monitor all kinds of services, be it Database, Servers etc. Whereas CloudWatch only monitors over AWS services. Another reason is its huge availability of integrations …
Prometheus is great for quantifiable metrics. Loki is intended for log aggregation. Depending on project a different combination of data source types may be needed. However, quantifiable metrics are predominantly supported by Prometheus. Other data sources like elastic search …
Prometheus is better as a monitoring tool than graphite as graphite is a passive time series database with a query language. Prometheus has a rich data model by capturing metadata with labels which allows for easy filtering and querying. For a clustered solution, graphite maybe …
Prometheus is cheaper, and you can quickly set it up compared to others. It is integrated with most of the open-source monitoring and alerting tools and can help small companies in having a cost-effective solution early in their stage.
I tested out this solution and vetted out a few other solutions as well and ultimately ended up going with Prometheus due to a few specific reasons. Prometheus has a freemium option that allows a company to maintain cash flow while not sacrificing the quality of the product. It …
Prometheus is similar to some of its competitors but delivers with regards to metrics; being used internally by Google and other cloud-native companies like ours gives us the confidence that the alerting industry stakeholders view it as a long-term solution that the community …
We evaluated Datadog and New Relic but cost-wise, these 2 are very expensive. Prometheus does require more leg work to match the feature sets but other than time, the cost is free. Pairing with Grafana, Prometheus can pretty much match features with the big players and still …
If you combine Prometheus with Grafana, what you get is just amazing. it is basically the best ecosystem that I have seen. Grafana just makes those fancy "iron man" kind of dashboards and it just looks so appealing to your eyes. I have implemented NAGIOS core earlier for …
Our organization prefers AppDynamics for its focus on user experience and business metrics which is quite useful for aligning IT performance with organization goal. it is also known for its AI driven insights and monitoring capabilities making it very effective as compares to …
AppDynamics is easy to use, very good monitoring and provides us with detailed information about the performance of the underlying infrastructure, including servers, database,and external services.
AppDynamics is a mature product with probably the simplest of UIs to use which is a huge benefit. I can train users to be proficient in AppDynamics in under an hour. But the product can definitely do some very advanced operations... depending on the need.
It differs from these programs because it integrates seamlessly with a wide range of technologies and platforms and has strong integration capabilities, a crucial factor in adapting to different technology stacks.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
AppDynamics excels at delivering extensive insights into the performance of apps at the code level. It enables developers to zero in on certain lines of code or modules that are causing performance difficulties, making it possible for more effective debugging and optimization. …
It's easy to customize alerts into easy notifications, view everything in a graphical manner, and it's easy to understand. AppDynamics helps us to understand and monitor our network and servers related issues before they cause an impact on our business processes or clients. …
I have used Splunk for a short period. It was difficult to connect with the server and it takes much time to connect with the central server but AppDynamics is quite fast in it. Plus the service handlers for Splunk were a little ignorant their response was usually late in …
Unfortunately, I wasn't in the company when the decision was made, hence can tell just because. What I can tell from my experience, it was not a bad choice and alternatives like New Relic or Datadog provide more or less similar functionality. In most cases the main reasons are …
AppDymanics and Solarwinds was a good products at application and website monitoring. For SQL monitoring AppDymanics was the superior product is it found several queries that were slowing down the server while Solarwinds could not find any issues. The version of Nagios that we …
AppDynamics is more a graphical representation of data, where as other tools like Splunk shows data in a table format using Query structure. AppDynamics helps is in analyzing system performance, but other tools just help to log the data and send alerts upon manual setting. …
AppDynamics falls under Cisco's Full Stack Observability and is now deeplyintegrated with Thousand Eyes, Secure App and Intersight covering addional monitoring layes that no other solution out there does well.
This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.
Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
AppDynamics excels in creating dynamic baselines for application performance. For instance, during periods of varying workloads, it automatically adjusts performance baselines. This adaptive baseline creation helps in accurately detecting anomalies and deviations, ensuring that abnormal behavior is quickly identified and addressed.
The scalability of an organization's apps can be evaluated with the assistance of AppDynamics. It gives insights into how effectively programs can handle increased workloads, helping to proactively address scalability concerns before they impair performance.
Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
The initial setup process of AppDynamics could be more user-friendly. Some users find the configuration and onboarding to be a bit complex. Improving the onboarding experience could make it more accessible, especially for smaller teams or those with limited resources.
It can be difficult for some users to get AppDynamics up and running for the first time. For new users, the platform's usability might be improved by streamlining the onboarding process or providing more user-friendly setup wizards.
It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.
Actually, I would like to give it a score of 10 out of 10, but taking into account certain factors such as: the cost of the annual licence, the complexity of installation and configuration, the blurring of setting Splunk AppDynamics over the cloud and especially OpenShift since we use it as a container platform. So, 8 out of 10 looks perfect for it
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
The ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.
We can optimize infrastructure utilization and lower cloud or server costs by locating and removing resource-intensive bottlenecks with the aid of AppDynamics.
Building trust with external stakeholders and encouraging accountability within our organization, AppDynamics' comprehensive reporting and monitoring capabilities offer transparency into the health of applications.
We can find bugs earlier and improve development workflows with the help of AppDynamics' real-time insights and code-level profiling.