![]() This allows users to easily analyse and create reports, visualisations, alerts and dashboards from unstructured data, which would normally be very difficult and time-consuming. In this way, Splunk works like a search engine and uses its own search processing language (SPL) to filter and query your data. The Splunk platform works with various connectors (including Kafka, as one example), which allows organisations to use it for a diverse amount of use cases from security and network monitoring to maintaining system uptime. Splunk is supplied at four different pricing options which can be hard to find exact figures on without reaching out to their sales team directly. Once ingested, Splunk indexes the data to make it accessible and then allows users to search and analyse that data. This analytics tool collects machine data from just about any data source including IoT devices, microservices, remote sensors and network devices. Splunk works by connecting to machine data sources and forwarding data to the system where it is then stored and indexed. As machine data is notoriously difficult to analyse, Splunk aims to make the process of analysing this easier. Splunk is a data analytics tool that lets users index and analyse machine data (which includes logs, events and metrics) to produce valuable insights for observability. In this guide, we’ll be comparing these two leading SIEM tools against each other to help you to decide on which solution will help your security use case. ![]() These two titans have provided a swiss army knife of useful tools to many developers, cybersecurity specialists and devops professionals over the years since their inception. If you have any experience with comparing the leading tools in observability then it is very likely that you will have come across Splunk & ELK during your research.
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