We performed a comparison between Elastic Observability and ScienceLogic based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's easy to deploy, and it's very flexible."
"Good design and easy to use once implemented."
"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 solution is open-source and helps with back-end logging. It is also easy to handle."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The architecture and system's stability are simple."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"The best feature is the highly flexible graphs."
"The tool is quite easy to deploy, and it offers very good support."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"Dynamic Component Mapping is key and unique."
"The most valuable features of ScienceLogic are AI and machine learning."
"Its ITSM and EMS combination is really amazing. There is no need to purchase two products, one for ITSM and a second for EMS/NMS."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"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."
"The interface could be improved."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"There are often bugs in new releases."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"They should improve their support process and add chat."
"It was challenging onboarding users."
"They need a little more self-service."
"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
"They should add CLI command modes and scripts for high performance."
Elastic Observability is ranked 10th in IT Infrastructure Monitoring with 22 reviews while ScienceLogic is ranked 12th in IT Infrastructure Monitoring with 42 reviews. Elastic Observability is rated 7.8, while ScienceLogic is rated 8.6. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Zabbix. See our Elastic Observability vs. ScienceLogic report.
See our list of best IT Infrastructure Monitoring vendors and best Cloud Monitoring Software vendors.
We monitor all IT Infrastructure Monitoring 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.