We performed a comparison between Graylog, Splunk Enterprise Security, and Stackify based on real PeerSpot user reviews.
Find out what your peers are saying about Splunk, Datadog, Wazuh and others in Log Management."Everything stands out as valuable, including the fact that I can quantify and qualify the logs, create pipelines and process the logs in any way I like, and create charts or data maps."
"We run a containerized microservices environment. Being able to set up streams and search for errors and anomalies across hundreds of containers is why a log aggregation platform like Graylog is valuable to us."
"The product is scalable. The solution is stable."
"The solution's most valuable feature is its new interface."
"The ability to write custom alerts is key to information security and compliance."
"I am very proud of how very stable the solution is."
"Real-time UDP/GELF logging and full text-based searching."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"It allows the centralization of data and makes possible new sorts of correlations that were previously impossible using traditional SIEMs such as ArcSight or QRadar."
"We can present to our management in real time the security of the batch management for the PCs, security regarding the network equipment. We're currently working in the Azure Cloud project, so we can send any logs from the cloud to Splunk. We can monitor them and we can present to the managers and customers. It's a very good solution for reporting. We use Splunk for reporting and monitoring of any solution in the company."
"The most valuable feature is the log aggregation, being able to scan through all of the logs."
"I like Splunk's data aggregation and search capabilities."
"Good for log collection and log management."
"The graph visualization is the most valuable feature."
"From the class that I took this week, being able to create notable events from whatever you find in the data set is pretty useful."
"The ability to view all of these different logs, then drilling down into specific times or into specific data sources, has proved to be the greatest aspect in decreasing our troubleshooting overhead time."
"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."
"The performance dashboard and the accurate level of details are beneficial."
"The deployment is very fast."
"The solution is stable and reliable."
"Lacks sufficient documentation."
"There should be some user groups and an auto sign-in feature."
"Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."
"Graylog can improve the index rotation as it's quite a complex solution."
"I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient."
"With technical support, you are on your own without an enterprise license."
"My company could benefit from doing more Splunk training with Splunk consultants teaching us how to use it."
"My biggest struggle with Splunk in general is memorizing all the commands. If I want to know which users have logged in between certain hours, I cannot write that query out. It would be helpful to have AI so that I can explain in simple terms what I want and then the search gives that back to me. I am waiting for that."
"Adding custom visualization in Splunk has been improved over the years but can still be made better by integrating more and more JavaScript visualization sources."
"I would like Splunk to add more integration. QRadar has many indications with more products than Splunk."
"The product was designed for security and IT with business intelligence needs, such as PDF exporting, but this has not been the highest priority. While the functionality is there, it could be developed more."
"A lot of people are averse to using new tools so if they make it even more user-friendly than it already is, I think that could go a long way."
"Their technical support sucks."
"The analytics of Splunk could be improved."
"I would like to be able to see metrics about individual running containers on the host machines."
"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."
"The search feature could be improved."
"It should be easily scalable and configurable in different instances."
