New Relic vs Splunk
Last updated: July 30, 2020
New Relic gets you immediate code-level visibility to build faster software, create better products, and delight your customers. New Relic gets you immediate code-level visibility to build faster software, create better products, and delight your customers.
We make machine data accessible, usable and valuable to everyone—no matter where it comes from. You see servers and devices, apps and logs, traffic and clouds. We see data—everywhere. Splunk offers the leading platform for Operational Intelligence. It enables the curious to look closely at what others ignore—machine data—and find what others never see: insights that can help make your company more productive, profitable, competitive and secure.
New Relic vs Splunk in our news:
2020 - New Relic is changing its pricing model to encourage broader monitoring
In the monitoring world, typically when you spin up a new instance, you pay a fee to monitor it. If you are particularly active in any given month, that can result in a hefty bill at the end of the month. That leads to limiting what you choose to monitor, to control costs. New Relic wants to change that and is moving to a model where customers pay by the user instead, with a smaller, less costly data component. The company is also simplifying its product set with the goal of encouraging customers to instrument everything instead of deciding what to monitor and what to leave out to control cost.
2017 - Splunk expands machine learning capabilities across platform
Cloud monitoring provider Splunk is enhancing machine learning capabilities to make it easier to surface the data that’s most critical. The Splunk Machine Learning Toolkit has several new key features designed for the DIYers. First of all, there is a new data cleaning tool to get the data ready for the model. Next, there are machine learning APIs to import open source and proprietary algorithms and apply them in Splunk. Finally, there is a machine learning management component to integrate user permissions directly from Splunk into custom machine learning applications. For those who would prefer Splunk to do some of the work for them, there are also new goodies including Splunk ITSI 3.0, which uses machine learning to help identify issues and prioritize them based on how critical a given operation is to the business. So we may assume that Splunk becomes more intelligent if compared vs Datadog
2016 - Splunk unveiled 300 machine learning algorithms for Operational Intelligence
Operational Intelligence platform provider Splunk has expanded in a significant way the early version of machine learning in its platform to deliver new services and capabilities. It has added machine learning to the core of its platform with a machine learning toolkit that can be installed as a free app on top of the Splunk Enterprise platform. This toolkit provides 300 algorithms for machine learning, 27 of which are pre-packaged out of the box and focus on such categories as clustering, recommendations, regression, classification and text analytics. Splunk has also enhanced the machine learning in its IT Service Intelligence (ITSI) platform it introduced this time last year.
2015 - Splunk acquired machine learning startup Caspida
Cloud monitoring provider Splunk has purchased Caspida, the startup that uses machine learning techniques to help identify cyber-secruity threats from inside and outside the company. Splunk helps companies deal with the onslaught of machine data coming from IT systems using data science techniques and automation to make sense of it. The company has a security product called Splunk App For Enterprise Security. With this purchase, Splunk is adding a new tool to its security arsenal to beef up the ability to locate threats using the machine learning techniques that Caspida has developed. It can apply data science to look more closely at the usage of every person using the system, even if they appear to be a valid user with proper credentials. Splunk’s general approach is a solution that is data science driven, that provides automated detection and uses machine learning to get smarter over time.
2014 - Mobile analytics startup New Relic is now a billion-dollar company
New Relic, that provides app-monitoring on a SaaS-basis, ended first day of trading as a billion-dollar company. The share price ended up being 47 percent higher than the $23.00 share price it set on Thursday, and makes the company worth roughly $1.5 billion. New Relic offers SaaS Software Analytics Platform that offers Application Performance Management and Real User Monitoring for Cloud and Data Center deployed web applications implemented in Ruby, Java, .NET, Python, PHP, Node.js. New Relic also offers mobile monitoring solutions for iOS and Android applications. The company is aiming full-steam ahead for the new year and compared his company to a football player that just made the big leagues.
2014 - Application-monitoring platform provider New Relic files for an IPO
Application-monitoring startup New Relic has filed for an initial public offering. In the filing, the company reported revenue of $63.2 million for 2014, which was up from last year’s $29.7 million. New Relic was founded in 2007 and unveiled its first product in 2008. In early October, New Relic bought out Barcelona-based startup Ducksboard, whose technology allows New Relic to hook into various cloud services, aggregate the data and generate a dashboard. New Relic also rolled out it long-awaited Insights real-time analytics service in July that can allegedly generate more information on top of all of the data the New Relic platform collects. The startup is not alone in the application analytics space. It competes with startups like AppDynamics, ThousandEyes and AppNeta.
2013 - Splunk launches Splunk Cloud
Splunk, the leading software platform for real-time operational intelligence, announced the general availability of Splunk Cloud - a new service that delivers Splunk Enterprise in the cloud. Organizations can now access Splunk Cloud to gain visibility and operational insights into their machine-generated big data in the cloud, as well as correlate this data across their cloud and on-premises environments. With the introduction of Splunk Cloud for large-scale production environments, Splunk Storm, the cloud-based service introduced last year, will significantly expand its free developer offerings to 20GB of total storage per month. Splunk Cloud is powered by Amazon Web Services, includes access to all features of Splunk Enterprise platform including apps, APIs, alerting and role-based access controls..