We performed a comparison between Splunk Enterprise Security and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM)."There are a lot of things you can explore as a user. You can even go and actively hunt for threats. You can go on the offensive rather than on the defensive."
"The pricing of the product is excellent."
"The best feature is that onboarding to the SIM solution is quite easy. If you are using cloud-based solutions, it's just a few clicks to migrate it."
"There are some very powerful features to Sentinel, such as the integration of various connectors. We have a lot of departments that use both IaaS and SaaS services, including M365 as well as Azure services. The ability to leverage connectors into these environments allows for large-scale data injection."
"It is quite efficient. It helps our clients in identifying their security issues and respond quickly. Our clients want to automate incident response and all those things."
"Microsoft Sentinel enables you to ingest data from the entire ecosystem and that connection of data helps you to monitor critical resources and to know what's happening in the environment."
"The machine learning and artificial intelligence on offer are great."
"The AI capability is one of the main features of the solution because I believe that in the market, there are few solutions that are providing security solutions based on AI and machine learning."
"The most valuable feature of Splunk is the log monitoring."
"We were able to create a catalog of dashboards and have a holistic view at all levels. We could understand our business much better. Real-time errors, which were buried in emails before now, surfaced up on dashboards."
"Splunk has helped improve our company's resilience level."
"The solution's newly developed dashboard is pretty amazing."
"Positive features include replication capabilities, software development kits, and the architecture."
"It gives us the liberty to do more in terms of use cases."
"I am satisfied with the support."
"It can log more logs than other solutions. It's a good way to troubleshoot problems."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"I like the visualization component."
"The most valuable features of the solution are the permission management and the user management."
"The geospatial maps representation and the visualizations are nice."
"I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people."
"Easy to create graphs and visualizations."
"When compared to Power BI, Tableau has more readily available resources."
"It has made the reporting stage simple and enabled us to focus mainly on the ETL part"
"The playbook is a bit difficult and could be improved."
"When it comes to ingesting Azure native log sources, some of the log sources are specific to the subscription, and it is not always very clear."
"It could have a better API to be able to automate many things more extensively and get more extensive data and more expensive deployment possibilities. It can gain some points on the automation part and the integration part. The API is very limited, and I would like to see it extended a bit more."
"If we want to use more features, we have to pay more. There are multiple solutions on the cloud itself, but the pricing model package isn't consistent, which is confusing to clients."
"There are certain delays. For example, if an alert has been rated on Microsoft Defender for Endpoint, it might take up to an hour for that alert to reach Sentinel. This should ideally take no more than one or two seconds."
"I think the number one area of improvement for Sentinel would be the cost."
"The solution should allow for a streamlined CI/CD procedure."
"The only thing is sometimes you can have a false positive."
"Previously, they developed custom connectors or add-ons for a lot of applications. But that number can be upgraded still. There are a lot of applications in the world that are not supported."
"For on-premise, it's more about optimization. With such a heavy byte scale of data that we are operating on, the search for disparate data sometimes takes about a minute. This is understandable considering the amount of data that we are pumping into it. The only optimization that I recommend is better sharding, when it comes to Splunk, so that data retrieval can be faster."
"The upgrading process could be smoother."
"I have concerns about the architecture as well since I can see it is not very well defined."
"It will be helpful for customers if they can create some real-world cases, and we can find a case study to align with. I know that Splunk has tremendous potential. We only include a tiny piece of it. There is a lot of stuff that we need to learn. If Splunk can provide more real-time examples, that will be helpful for customers."
"Being a SIEM solution with a centralized dashboard, we would like to have more options to customize it."
"The UI can be improved. Dashboards and reports can be better in terms of graphics."
"A problem that we had recently had was we licensed it based on how much data you upload to them every day. Something changed in one our applications, and it started generating three to four times as many logs and. So now, we are trying to assemble something with parts of the Splunk API to warn ourselves, then turn it off and throttle it back more. However it would be better if they had something systematically built into the product that if you're getting close to your license, then to shut things down."
"The solution’s pricing could be improved."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
"We would like a report model, because currently there is no schema that we can create in the tool."
"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"There should be more widgets that would help less trained individuals create charts with less difficulty."
Splunk Enterprise Security is ranked 1st in Security Information and Event Management (SIEM) with 240 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Splunk Enterprise Security is rated 8.4, while Tableau is rated 8.4. The top reviewer of Splunk Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Elastic Security and Datadog, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
We monitor all Security Information and Event Management (SIEM) 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.
