Kibana vs Sumo Logic
July 27, 2023 | Author: Michael Stromann
Kibana and Sumo Logic are both robust tools used for data analysis and visualization, but they cater to different data management and monitoring needs. Kibana, as part of the Elastic Stack, is an open-source data visualization platform designed primarily for real-time data exploration and analysis. It excels in creating interactive dashboards and visualizing data from various sources, making it a preferred choice for log analysis, application performance monitoring, and security analytics, especially when integrated with Elasticsearch. On the other hand, Sumo Logic is a cloud-native, machine data analytics platform that specializes in log management, real-time monitoring, and troubleshooting. It offers advanced features for ingesting, indexing, and analyzing large volumes of machine-generated data, making it an excellent option for organizations seeking comprehensive insights into their log data and operational performance in a cloud-based environment.
See also: Top 10 Business Intelligence software
See also: Top 10 Business Intelligence software
Kibana vs Sumo Logic in our news:
2019. Sumo Logic raises $110 million to orchestrate cloud apps with AI
Sumo Logic, a cloud-native platform specializing in machine data analytics and delivering continuous app intelligence, has successfully raised $110 million in a series G funding round. This substantial investment comes on the heels of a remarkable year for Sumo Logic, during which it achieved over $100 million in revenue and surpassed the milestone of 2,000 customers. With a valuation exceeding $1 billion and a workforce of over 500 employees, Sumo Logic boasts an impressive client roster that includes renowned names such as Airbnb, Pinterest, and The Pokémon Co. Offering a wide range of analytics and insights across 150 apps and integrations, Sumo Logic supports clients in building, operating, and securing their applications and cloud infrastructures. The newly acquired funds will be utilized to expand Sumo Logic's engineering, sales, and global operations teams, with a primary focus on enhancing the platform's analytics capabilities across its diverse suite of services.