Splunk vs Tableau

Data Analysis is a process of transforming and modeling the raw data into useful information. Various data analytics tools are available, but Splunk and Tableau are the most widely used. However, we have to understand their functions to choose one among them. In this Splunk vs. Tableau blog, you will find everything about both tools.  

What is Splunk?

Splunk is a software that allows us to acquire, monitor, analyze, and search the machine data created from different data sources. The search processing language of Splunk will enable us to search through huge amounts of data for getting particular information.

It can identify data patterns, generate metrics, and help diagnose problems for business challenges like IT management, compliance, and security. It correlates and indexes the information in a container that makes it searchable. 

Advantages of Splunk

1) Splunk creates analytical reports with interactive graphs, charts, and tables and shares them with others, which is productive for users.

2) Splunk is extendable and simple to implement.

3) It helps you save your tags and searches, which are identified as essential information, such that it can make your system smarter.

4) Splunk can automatically discover useful information in the data; thus, you don’t have to identify it.

If you want to become professional in Splunk, then enroll in MindMajix’s Splunk Training.

What is Tableau?

Tableau is a robust data visualization tool that enterprises use for analyzing, reporting, and visualizing huge amounts of data. It provides various awesome features, making it simple for users to benefit from their businesses.

It allows us to build different charts, maps, graphs, stories, and dashboards to analyze and visualize the data to assist in making business decisions. It creates data that can be understood by individuals at any level in an organization. It also enables us to create personalized dashboards.

Advantages of Tableau

1) Data Visualisation: It is a data visualization tool that offers difficult computation, dashboarding, and data blending.

2) Flexibility in Implementation: In Tableau, various kinds of visualizations are available, which improves the user experience.

3) Handling vast amounts of data: Tableau handles millions of rows of data effortlessly. A huge amount of data can create different kinds of visualizations without troubling the dashboard’s performance.

4) Responsive Dashboard and Mobile Support: Tableau Dashboard has amazing reporting features that enable us to personalize the dashboard, especially for devices like laptops or mobiles.

Splunk vs. Tableau

Splunk can monitor all the machine activities, like logins and actions performed on those machines under each user. Whereas Tableau offers pattern-based visualizations under a massive heap of data on a real-world basis.

Splunk is primarily compared with Micro Focus ArcSight and  QRadar, while Tableau is primarily compared with SAS Visual Analytics, Microsoft BI, and Oracle OBIEE.

Splunk Assists organizations by reducing MTTR since all the stakeholders and developers have access to the log events. Conversely, Tableau is straightforward and intuitive in generating insights, and its drag-and-drop feature makes it highly hard to use.

In the initial implementation and setup, Splunk offers a straightforward design. Implementing Tableau takes just a couple of hours.

Splunk becomes expensive after a 20GB/Month license when we discuss pricing, licensing, and cost. Tableau is useful for small organizations since it is relatively affordable but becomes expensive with the rise in server integrations.

There is a space for enhancement for both Splunk and Tableau. Filtering and Hnalding Logs become important as simple data consumption can lead to surpassed bandwidth. In the case of Tableau, it lacks machine learning and other data science technologies, because of which implementing new analytic languages like SAS and Python is impossible.

Comparison Between Splunk vs Tableau

Below are some of the most important differences between Splunk and Tableau:

Comparison Basis	Splunk	Tableau
Ranking	It is Ranked Number 2.	It is ranked at number 1 position.
Cost	$1350	$135
Primary Role	Primarily associated with the machine data collected from the mobile devices, security devices, data centers, etc.	Enables customers in the decision based on historical data.
Supported Platforms	Web-based	Web-basediPhone AppAndroid App
Pricing Model	Annual Subscription	One-time Payment/Annual Subscription
Features	Can gather and index the data efficiently.Search and InvestigateCorrelate and AnalyzeVisualize and ReportMonitor and AlertHigh Availability and ScalingEase of AccessEmpowered Application Library.It contains a streaming app, mobile app, and DB connector. Open development platform Easy Enterprise Integration.	Inherent Data Connectors listPatented TechnologyHighlight and Filter the dataSimplicity of drag and drop, toggle.Data NotificationsTableau ReaderMobile-ready monitoring and dashboardsCreate code-free data queriesImport the multitude of sizes and variety of dataEfficient metadata managementCan transform queries into visualizations.Supporting REST APIAuto-updatesActive Directory IntegrationEfficient Collaboration toolsAd hoc reporting and analysis.
Customers	Bosch, John Lewis, NPR, Baylor University, and Amaya.	Deloitte, Citrix, and Pandora.
Alternatives	SalesforceQlikviewCloud9SisenseInsightechDatameerQuill Engage	Heap AnalyticsSimilarWeb ProSnowflakeQlik SenseLookerChrome River AnalyticsSisene
Support	KnowledgebaseOnline Support	KnowledgebaseOnline Support
Integration Supported	Dropbox	Bitium

Conclusion

This Splunk vs Tableau blog includes detailed comparison between Splunk and Tableau to help you understand which data analysis tool fits your enterprise needs. I hope this information is sufficient for you to get in-depth knowledge of Splunk and Tableau. If you have any queries, let us know by commenting in the comments section. 

About Author
Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups.