

Tableau Enterprise and Splunk Enterprise Platform both compete in the data analysis space, providing distinctive capabilities in visualization and data monitoring, respectively. Based on the comparison, Tableau has the upper hand in ease of use and visualization, while Splunk excels in data monitoring and security analytics.
Features: Tableau Enterprise specializes in creating sophisticated graphical representations and visual reports, allowing for seamless integration with numerous data sources and offering an intuitive interface for crafting detailed dashboards. Splunk Enterprise Platform is oriented towards extensive data monitoring, handling real-time data analysis and having capabilities crucial to IT operations and security analytics, known for strong log management.
Room for Improvement: Tableau's areas for improvement include enhancing its ETL capabilities, addressing performance issues with larger datasets, and reducing enterprise-level deployment fees and licensing costs. Splunk Enterprise Platform can improve by simplifying its setup process, lowering the total cost, and enhancing user-friendliness to ease its steep learning curve.
Ease of Deployment and Customer Service: Tableau Enterprise provides flexible deployment options, including On-premises, Private Cloud, Public Cloud, and Hybrid Cloud, but users desire better technical support responsiveness. Splunk Enterprise Platform offers primarily On-premises and Hybrid Cloud deployments, but it is often challenging for smaller organizations to manage independently despite its commendable customer service engagement.
Pricing and ROI: Tableau is perceived as expensive, particularly for small enterprises, yet it delivers significant ROI through improved insights and data-driven decisions. Splunk, although costly due to pricing based on data ingestion volumes, offers substantial capabilities in log management and analysis. Both platforms provide valuable ROI by enabling informed decision-making, although cost could limit their adoption based on budget constraints.
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.
I have no problem with the technical support provided by Splunk Enterprise Platform at all.
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.
It was straightforward for me and my team, with no complexities involved.
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 anomaly detection is very good for live production data. Whenever an anomaly comes in an application, it automatically resolves and just gives the notification.
Splunk Enterprise Platform will create an incident and detect this as a credential compromise because we have a successful login from another location.
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 | Mindshare (%) |
|---|---|
| Tableau Enterprise | 11.0% |
| Splunk Enterprise Platform | 1.6% |
| Other | 87.4% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 2 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 184 |
Explore data of any type and value — no matter where it lives in your data ecosystem.
Drive business resilience by monitoring, alerting and reporting on your operations.
Create custom dashboards and data visualizations to unlock insights from anywhere — in your operations center, on the desktop, in the field and on the go.
Use data from anywhere across your entire organization so you can make meaningful decisions fast.
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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