We performed a comparison between Elastic Observability and Grafana based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Grafana is the preferred choice over Elastic Observability, as it is user-friendly, has flexible integration with other tools, and has customizable dashboards. Grafana has a more accessible interface and efficient customer service, with moderate pricing. Elastic Observability has more features but needs improvements in areas such as machine learning, reporting, and documentation.
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"We can view and connect different sources to the dashboard using it."
"I have built a mini business intelligence system based on Elastic Observability."
"Good design and easy to use once implemented."
"The price is very less expensive compared to the other solutions."
"It's easy to deploy, and it's very flexible."
"The product has connectors to many services."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The most important feature of Grafana is its alarm formatting capability."
"The best feature was the creation of graphs and trends."
"Plugin: Connecting Grafana to multiple APIs of leading monitoring tools and alerting tools."
"Compatibility with Prometheus databases and the Spring Boot application make it the first choice when moving toward an SRE model."
"The integration between Loki and Tempo is valuable."
"The solution has good features."
"Grafana has improved our analysis capability to solve an issue, increasing the co-working between IT services and business services."
"It excels in providing comprehensive details when there are downtimes or fluctuations, offering thorough reports."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"The interface could be improved."
"The price is the only issue in the solution. It can be made better and cheaper."
"There is room for improvement regarding its APM capabilities."
"There could be more low-code features included in the product."
"Elastic Observability needs to have better standardization, logging, and schema."
"There's a steep learning curve if you've never used this solution before."
"The technical support has room for improvement."
"Grafana doesn't provide anything for reporting."
"Its UI features to create charts can also be improved. Some features could have a link to the documentation."
"There is room for improvement when using multiple dashboards because they can become complicated to keep track of and use."
"More dashboard is required, out-of-the-box, for OpenNMS."
"The service dashboard is very hard and needs improvement."
"Lacks in-depth graphs and sufficient AI."
"The solution has room for improvement with a better API to help automate the construction of the dashboards easier."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 39 reviews. Elastic Observability is rated 7.8, while Grafana is rated 8.0. 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 Grafana writes "Agent-free with great dashboards and an active community". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and Datadog, whereas Grafana is most compared with New Relic, Sentry, Azure Monitor, Dynatrace and Honeycomb.io. See our Elastic Observability vs. Grafana report.
See our list of best Application Performance Monitoring (APM) and Observability 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.