

Tableau Enterprise and Splunk Enterprise Platform compete in the analytics sector with distinctive strengths. Tableau leads in data visualization due to its ease of use and integration across data sources, while Splunk is stronger in real-time data processing and security monitoring.
Features: Tableau Enterprise is known for its data visualization capabilities, providing interactive dashboards and trend analysis. It supports integration from multiple sources and offers flexibility in data handling. Splunk Enterprise Platform specializes in real-time data processing, security monitoring, and log management, making it effective for robust analytics and real-time alerting.
Room for Improvement: Tableau Enterprise could enhance handling of large datasets, improve ETL functions, and reduce its overall cost. Users suggest better integration for advanced analytics and machine learning features. Splunk Enterprise Platform is noted for its high pricing and complex setup, with calls for easier monitoring features and API enhancements to improve accessibility.
Ease of Deployment and Customer Service: Tableau Enterprise offers flexibility with deployment in on-premises, private, and hybrid environments but has mixed reviews on customer support with some delays in resolving complex issues. Splunk Enterprise Platform is also deployed flexibly but poses a higher complexity in deployment. Its customer service is well-regarded for responsiveness, though the platform's learning curve remains steep, necessitating thorough support.
Pricing and ROI: Tableau Enterprise's pricing is competitive but often seen as high, especially for smaller businesses. Its ROI is realized through time savings in visualization tasks. Splunk Enterprise Platform is similarly viewed as costly, but provides significant ROI by enhancing real-time monitoring and security analytics for larger scale operations.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
It is crucial for anyone looking to deploy Splunk Enterprise Platform to first certify for their courses, such as the Splunk Administrator and the Power User Administrator certifications, which address all troubleshooting queries.
When we encounter issues, we utilize the Splunk community, which I believe showcases a big advantage of Splunk due to its strong community support.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
Splunk allows for scalability, as you can start with an all-in-one instance and, as your deployment grows, split it into distributed deployment, such as separating the search head and indexers.
Some products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.
If the server is down, I can upgrade the server resources or create a new node for performance optimization.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
It requires managing configuration files and processing operations manually, limiting its auto-scaling capabilities.
Splunk Enterprise Platform is stable when not integrating or adding new devices continuously.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
The deep learning capabilities need enhancing, especially on Splunk Cloud, where customers find it challenging to use deep learning tools without setting up backend computing resources.
It is complex for inexperienced cybersecurity engineers and requires experienced personnel to handle it effectively.
The cost is the most significant area for improvement in Splunk Enterprise Platform, as it is quite expensive, causing many clients to differ due to this reason.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
The pricing model is based on ingesting data sizes, not user count, and includes a free tier for up to 500 MB of daily data.
Splunk Enterprise Platform is expensive.
Regarding pricing, I remember that Splunk is generally more expensive than SIEMs such as Microsoft Sentinel and Securonix, while it is also pricier than Elastic Security.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
Splunk Enterprise Platform also has its own Phantom as a SOAR, which is much more refined and gives more accurate results than any other AI integrated SIM tool.
The features that have proven most effective for real-time data analysis include parts of the platform and its automation capabilities.
One valuable feature of Splunk Enterprise Platform is citizen programming, which allows users to manage and compute huge stream-based datasets easily using SPL language.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
| Product | Market Share (%) |
|---|---|
| Tableau Enterprise | 11.3% |
| Splunk Enterprise Platform | 1.5% |
| Other | 87.2% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 1 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 184 |
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Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.
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