Tableau Enterprise and Splunk Enterprise compete in the business intelligence and IT monitoring category. Tableau has an edge in data visualization for business intelligence, while Splunk is stronger in data search and IT observability.
Features: Tableau Enterprise is known for its robust data visualization capabilities and ease of use, alongside extensive data integration options. Splunk Enterprise is recognized for its powerful analytics, suitable for monitoring, searching, and analyzing large data volumes, primarily benefiting security and IT operations.
Room for Improvement: Tableau Enterprise users point out the need for improved ETL functionality, enhanced predictive analytics, and better management of large data volumes. There is a demand for more diverse visualization options and cost-effective licensing. Splunk faces criticism for its high cost and complexity for small businesses, with suggestions for more user-friendly dashboards and flexible automation options.
Ease of Deployment and Customer Service: Tableau Enterprise offers multiple deployment models, including On-premises, Private, Hybrid, and Public Cloud, with generally positive but sometimes inconsistent customer service. Splunk Enterprise is typically deployed on On-premises and Hybrid Cloud setups, with effective support but challenges in the learning curve for new users.
Pricing and ROI: Tableau Enterprise's pricing is often seen as steep, especially for smaller companies, but it is offset by rapid ROI through improved data insights. Splunk Enterprise is also expensive, with costs linked to data ingestion, making it prohibitive for small enterprises. Both platforms deliver significant ROI for larger organizations, though the initial investment and ongoing costs need careful management.
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.
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.
Some products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.
Splunk Enterprise Platform is scalable to some extent, which is acceptable.
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.
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.
I feel this can be improved in terms of performance.
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.
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.
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.
It saves time by allowing me to perform actions on a single platform instead of managing them separately.
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.
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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