Prometheus vs Splunk
Last updated: November 25, 2020
An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
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.
Prometheus vs Splunk in our news:
2020. Splunk acquires network observability service Flowmill
Data platform Splunk continues to make acquisitions as it works to build out its recently launched observability platform. After acquiring Plumbr and Rigor last month, the company today announced that it has acquired Flowmill, a Palo Alto-based network observability startup. Flowmill focuses on helping its users find network performance issues in their cloud infrastructure in real time and measure their traffic by service to help them control cost. Like so many other companies in this space now, Flowmill utilizes eBPF, the Linux kernel’s relatively new capability to run sandboxed code inside it without having to change the kernel or load kernel modules. That makes it ideal for monitoring applications.
2020. Splunk acquires Plumbr and Rigor to build out its observability platform
Data platform Splunk today announced that it has acquired two startups, Plumbr and Rigor, to build out its new Observability Suite, which is also launching today. Plumbr is an application performance monitoring service, while Rigor focuses on digital experience monitoring, using synthetic monitoring and optimization tools to help businesses optimize their end-user experiences. Both of these acquisitions complement the technology and expertise Splunk acquired when it bought SignalFx for over $1 billion last year.
2019. Zabbix 4.2 adds built-in support of Prometheus data collection
Zabbix Team announced the release of Zabbix 4.2. The latest release of Zabbix is packed with modern monitoring system for: data collection and processing, distributed monitoring, real-time problem and anomaly detection, alerting and escalations, visualization and more. The new version is able to collect data in many different ways (push/pull) from various data sources including JMX, SNMP, WMI, HTTP/HTTPS, RestAPI, XML Soap, SSH, Telnet, agents, scripts and other data sources, with Prometheus being the latest addition to the bunch. Now the 4.2 release will offer an integration with the exporters using native support of PromQL language. Moreover, the use of dependent metrics will give the Zabbix team ability to collect massive amounts of Prometheus metrics in a highly efficient way: this way they get all the data using a single HTTP call and then just reuse it for corresponding dependent metrics.
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.
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.
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..