![]() The log filtering is also very awesome.īottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. The log feature of Datadog is very well designed, I find very useful the tagging logs with services.The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.The UI of Datadog is more compact and my experience is smoother.The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).The reasons why we chose Datadog over NewRelic were: Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. ![]() ![]() I haven't heard much about Datadog until about a year ago. Kibana has a broader approval, being mentioned in 888 company stacks & 453 developers stacks compared to Datadog, which is listed in 532 company stacks and 213 developer stacks. PedidosYa, HubSpot, and Yammer are some of the popular companies that use Kibana, whereas Datadog is used by Shopify, Salesforce, and Starbucks. Here's a link to Kibana's open source repository on GitHub. Kibana is an open source tool with 12.2K GitHub stars and 4.72K GitHub forks. "Monitoring for many apps (databases, web servers, etc)" is the top reason why over 118 developers like Datadog, while over 76 developers mention "Easy to setup" as the leading cause for choosing Kibana. Intuitive interface for a variety of users.Real-time summary and charting of streaming data.Flexible analytics and visualization platform.On the other hand, Kibana provides the following key features: Clean graphs of StatsD and other integrations.200+ turn-key integrations for data aggregation.14-day Free Trial for an unlimited number of hosts.Some of the features offered by Datadog are: Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.ĭatadog and Kibana are primarily classified as "Performance Monitoring" and "Monitoring" tools respectively. Kibana is a snap to setup and start using. Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. What is Kibana? Explore & Visualize Your Data. Start monitoring in minutes with Datadog!. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Datadog is the leading service for cloud-scale monitoring. What is Datadog? Unify logs, metrics, and traces from across your distributed infrastructure. Datadog vs Kibana: What are the differences?
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |