Splunk vs Alteryx Designer

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.

Alteryx Designer is a data science solution that leverages the power of AI and ML to blend, parse, transform and visualize big business data to promote self-serve analysis of business metrics. Many users who reviewed data analysis said that the tool performs statistical, spatial and predictive analysis in the same workflow. Most of the users who reviewed data processing said that, with a lightweight ETL tool, the platform has strong data manipulation and modeling efficiencies, though some users said that it can be tricky to use SQL queries. Citing integration with Power BI, Tableau and Python, most of the users said that the tool connects seamlessly to data from databases and files, apps, and third-party data sources, among others, to expand the reach of search-based and AI-driven analytics. Most of the users who discussed ease of use said that the tool is intuitive with drag-and-drop functionality and a well-designed interface, though some users said error handling can be challenging for automated workflows. Most of the users who reviewed support said that online communities are helpful in providing answers to queries. Citing automated workflows, many users said that the tool helps save time, though some users said that these can be overly complex and need improvement. On the flip side, many users who reviewed pricing said that its expensive licenses and add-ons are cost-prohibitive, and cost per core is high for enterprises looking to scale. A majority of users who reviewed its visualization capabilities said that they need to export data to visually stronger applications, such as Tableau or Power BI, to make the reports presentation-worthy. Citing slow runtimes when executing complex workflows, especially with large datasets, many users said that performance-wise, the solution is prone to infrequent crashes. Most of the users who discussed learning said that with documentation not being in sync with latest releases, training is a must to optimally use the tool. Overall, Alteryx Designer is a data science tool that, with its low-code approach and strong data wrangling capabilities, makes the journey from data acquisition to data insights seamless and promotes data literacy across organizations, though it might be better suited for medium- to large-sized organizations.