Splunk vs IBM Watson Analytics

Splunk is a robust security and incident-monitoring platform for operations support. Event logs, alerts, security management and KPI tracking make it a robust enterprise solution. Search, storage and analysis are its strong points.We referenced online reviews for the past 18 months for this synopsis.About 92% of data workers said its incident review dashboard enables easy system monitoring. The capability to design dashboards with the option to drill down into data is an asset. Some users said they would like to have more visualizations.It garnered high praise for real-time incident monitoring. During our research, an oft-repeated sentiment was that users would not want to revert to previous tools.About 84% of knowledge workers reviewing functionality said the solution had substantial data collection and analysis capabilities. Around 65% of reviewers reported it was easy to use and had a readable log format.About 96% of the users citing pricing said it was costly but praised it for delivering on its promise and worth every penny. It can be complex to learn, and there’s a significant learning curve, according to around 77% of data workers who mentioned adoption.Slow loads and delayed responses were at the top of the minds of around 61% of users when discussing performance. According to Enlyft, mid-sized enterprises form a large chunk of the user base, and understandably so, as its steep price can deter small players.

IBM Watson is an open and multi-cloud platform that helps users automate their AI lifecycle and create powerful models. It is easy to implement and ensures a smooth customer experience through its advanced, intuitive and user-friendly interface. It offers comprehensive integration and reporting capabilities for achieving greater insights. Many reviewers have noted that it works slowly sometimes, affecting overall performance. Also, delayed responses from its customer service team and steep learning curve for beginners can be tedious.