We performed a comparison between Apica and Elastic Observability based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."With the ZebraTester, the ability to have and store dynamic variables, when setting up the monitors, means you can extract that value and use it in a subsequent service call. This is something that has made our lives easier... This is one of the features that I like the most because it helps us in configuring these services, in a certain flow, without the need to re-record the whole thing."
"The GUI is powerful and doesn't require scripting or regular expressions. It has a vast finder for correlation, which is easier than other tools like JMeter and LoadRunner. It's also easy to integrate with other tools with a separate execution environment. The tool is also easy to use."
"You can tell from the operational space of people who are using and consuming this data that they are more integrated. It is not dependent on one team anymore. It saves a lot of time by capturing and pinpointing the exact problem that is happening quickly. We have moved from getting escalations manually to getting escalations synthetically."
"From our standpoint, there are a number of valuable features. The WebHooks are obviously really great. The alert framework is really good and then the reporting and visualizations that you get from the dashboards is good. Those three areas are primarily what my team's focused on in terms of usage from day to day."
"It helps with releases because we monitor them in staging. We can tell if something is critically wrong before it gets into production, e.g., if it was load related or function related and also what was different in the dev stage. It then alerts us straightaway inside of our production monitors once it has been released. Therefore, it has improved how we run our systems since we monitor multiple environments."
"Our application SREs do script checks in such a way that closely mimic our customers' actions using the platform. Because there are so many different ways and options to be able to configure checks to closely mirror your applications' capabilities, it provides a lot of optionality for teams to create the right type of check that can notify when there are any issues. At the end of the day, we want our monitoring tools to be able to catch any outage before our customers do. This is where Apica Synthetic does a great job."
"One of the biggest advantages of moving to Apica is the ability get to a hybrid model with the architecture in the cloud and our agents on-prem. We also have access to Apica's cloud agent across the globe. That has changed the way that we have our load testing setup at this point. Previously, it was always internal. Now, with this change in the way it is implemented for load testing, we can test anywhere across the globe and from the list of agents available within Apica's cloud. If I don't have an agent available in a second location, it just takes an email to their customer support, then it is spun up within 24 hours. That flexibility has changed the way that we perceive our load tests, not just in the US, but globally."
"It is easy to set up and configure."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"The architecture and system's stability are simple."
"The most valuable feature of Elastic Observability is the text search."
"The solution has been stable in our usage."
"It has always been a stable solution."
"Its diverse set of features available on the cloud is of significant importance."
"It's easy to deploy, and it's very flexible."
"I have built a mini business intelligence system based on Elastic Observability."
"There are some components of the user interface that are not up to date. Just to give you an idea, today we have web applications that are called single-page applications that are much faster than the old style of web application. If we can move faster into the flow of the graphic user interface, and in a more effective way, it will save us a lot of time."
"The accuracy of alerts can be improved a little bit. Right now, it's pretty good in terms of alerting pretty quickly about failures or changes in response times. However, what we have seen happen is the number of alerts that we are getting is very frequent, and we would like to tone down the number of alerts. That's the only trouble we have. Apica could tone down those settings because there is no option for us to tone it down to a level that would reduce the alerts to a minimum. As a platform, it does send us good alerts, but it could be improved a bit."
"The reporting part that we use for our executives needs a bit more customization capabilities. Right now, you can use only the three main templates for reporting. We would like to be able to customize them."
"Learning the tool has always been a little difficult from a scripting perspective because the framework is proprietary and unique. Once we became used to what it does and how to perform it, then it became easier for my team and me. I would like to see some of the testing steps be part of a more well-known language, like Java or Python. That would be a big improvement."
"The initial screen on their dashboard could have a bit more data, but this is a small thing. It could have more data, so we do not need to drill down to a screen behind that initial information. I would like them to get a little better on the user interfaces that we need to go into."
"The customer service and support were a little slow to respond. The browser sometimes checks alerts on unknown issues like latency from Apica's side."
"We could use more detailed information in the request and response sections."
"Apica should add more features and integrations with different tools and certain ticketing systems, like ServiceNow."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Elastic Observability needs to have better standardization, logging, and schema."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The cost must be made more transparent."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
Apica is ranked 45th in Application Performance Monitoring (APM) and Observability with 5 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. Apica is rated 8.2, while Elastic Observability is rated 7.8. The top reviewer of Apica writes "Offers transcript download feature and easy to set up and configure tests but not very user friendly". On the other hand, the top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". Apica is most compared with Datadog, Dynatrace, AppDynamics, Apache JMeter and OpenText LoadRunner Cloud, whereas Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Datadog. See our Apica vs. Elastic Observability report.
See our list of best Application Performance Monitoring (APM) and Observability vendors and best Log Management vendors.
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.
