Tableau and Splunk Enterprise Platform are major players in the data management and analytics category, with Tableau excelling in data visualization and Splunk in data analysis, particularly for IT operations and security management.
Features: Tableau's standout features include exceptional graphical representation, ease of use with drag-and-drop analytics, and interactive visualization. It smoothly integrates with various data sources like Excel, Oracle, and MySQL. In contrast, Splunk is valued for powerful data analysis capabilities, especially in IT and security operations, though it lacks Tableau's focus on visualization and storytelling.
Room for Improvement: Tableau requires more affordable pricing, enhanced ETL capabilities, and better handling of hierarchical data, alongside improvements in server performance and scalability. Splunk could improve its user interface, simplify its pricing model, and widen integration options to appeal to a broader range of businesses beyond large enterprises.
Ease of Deployment and Customer Service: Tableau supports a variety of deployment options, favoring hybrid and private cloud implementations, complimented by an active community and responsive support. Splunk also offers strong customer support but may require external consultancy, which could be challenging for smaller clients.
Pricing and ROI: Tableau is viewed as more expensive compared to competitors like Power BI, though users find the investment worthwhile for its high-quality visualizations. Splunk's cost structure based on data ingestion is considered expensive for smaller businesses, yet both platforms are noted to offer significant returns when utilized effectively.
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.
They provide quick email and phone responses and have Thai-speaking personnel.
The technical support for Tableau is quite good.
I find Tableau's technical support to be good with elite support, but it struggles with usual, general support.
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products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.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.
The cost for viewer rights is around $60, but it can vary based on the business and is usually for a year.
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 is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.
Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.
Tableau has many valuable key features:
Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:
Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.
Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.