SentinelOne is endpoint security software, from the company of the same name with offices in North America and Israel, presenting a combined antivirus and EDR solution.
$4
per agent, per month
Splunk Enterprise
Score 8.6 out of 10
N/A
Splunk is software for searching, monitoring, and analyzing machine-generated big data, via a web-style interface. It captures, indexes and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards and visualizations.
I didn't get to fully evaluate Logstash as our corporation was already using Logstash, but both seemed like viable solutions to the problem that we were having. I wanted to evaluate Logstash some more, both did seem like they would work for the business needs that we had, we …
Both Logstash and Greylog are open-source solutions that provide similar capabilities to Splunk. They are excellent products in their own right but tend to follow versus lead. Splunk is definitely a leader in the field.
Able to show more than Log data in Splunk views, we tested several plug-ins during a small pilot, and we were able to bring O/S (Win/Unix/Linux) & APM data metrics into the same views as Logged data. I've seen others use it to visualize a wider range of data types, too...better …
We reviewed a number of different platforms and found Splunk to be the more mature product across the board. Splunk is the market leader and the rest of the industry chances them. We needed a platform from a company with the resources to continue development and meet new …
Splunk offers a simple out of the box setup. The enterprise installation was completed in less than four hours. Pricing for Splunk is high, but the benefits far out way the price impact. Other tools were good but did not offer the various types of integration. Support for the …
Apart from cost, Splunk overcomes and supersedes all other products considering all the features and user experience. Splunk is fast as compared to other products. The results shown in the form of various types of graphs are really helpful while doing comparison with other …
Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).
It works extremely well for investigating the root cause analysis of events because you can see so much detail into what was happening before, after, and around the detective incident. A weak point would be when the AI gets a little over-aggressive or doesn’t quite understand the use case for specific tools. Our RMM tool was detected as a pup.
It's well suited for what I do, which is network security operations. And that's for anything from troubleshooting incidents, troubleshooting performance, troubleshooting for the purpose of a compliance and auditing. It's not best suited for users who are new in terms of they're new to the product and they have expectations that probably Splunk cannot meet.
Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.
We are using Splunk extensively in our projects and we have recently upgraded to Splunk version 6.0 which is quite efficient and giving expected results. We keep track of updates and new features Splunk introduces periodically and try to introduce those features in our day to day activities for improvement in our reporting system and other tasks.
As I said earlier, for a production-grade OpenStack Telco cloud, Logstash brings high value in flexibility, compliance, and troubleshooting efficiency. However, this brings a higher infra & ops cost on resources, but that is not a problem in big datacenters because there is no resource crunch in terms of servers or CPU/RAM
There are some minor issues with the platform that can be mildly frustrating, but the overall performance, peace of mind, and ROI make it worth using. The management console is intuitive and easy to learn, the endpoint clients are simple but give IT professionals enough data to make management easy and simple
You can literally throw in a single word into Splunk and it will pull back all instances of that word across all of your logs for the time span you select (provided you have permission to see that data). We have several users who have taken a few of the free courses from Splunk that are able to pull data out of it everyday with little help at all.
Their support is good and quick to respond. The one issue we faced was when a non-protection issue arose there was a lot of dancing around trying to figure things out. This was frustrating as it took significantly longer to figure out issues. Lots of repetitive log gathers, screen caps, uninstalls that never seemed to resolve issues. Eventually, the product would be updated and the issue seemed to be resolved, but seemed to be the only solution.
Splunk maintains a well resourced support system that has been consistent since we purchased the product. They help out in a timely manner and provide expert level information as needed. We typically open cases online and communicate when possible via e-mail and are able to resolve most issues with that method.
The online course was simple clear and described the main capabilities of the solution. There is also an initial module that can be done for free so anyone can familiarize themselves with the functionality of this solution. On the other hand, however, there could be more free online courses. Maybe even with a certificate, this would broaden the group of people who are familiar with the platform while increasing familiarity with the solution itself.
Logstash can be compared to other ETL frameworks or tools, but it is also complementary to several, for example, Kafka. I would not only suggest using Logstash when the rest of the ELK stack is available, but also for a self-hosted event collection pipeline for various searching systems such as Solr or Graylog, or even monitoring solutions built on top of Graphite or OpenTSDB.
SentinelOne had all of the major features that we were looking for. The other products either required too much administrative attention or were lacking key features. For example, one could be uninstalled by the end user. We required that the installation be password protected to protect against end user disabling or uninstalling. One product required manual intervention for all remediation which put to high a burden on limited staff. All products are always being revised so these may no longer be issues but they had a significant impact on our decision.
I didn't get to fully evaluate Logstash as our corporation was already using Logstash, but both seemed like viable solutions to the problem that we were having. I wanted to evaluate Logstash some more, both did seem like they would work for the business needs that we had, we went with splunk as many teams were already using it.
Positive: LogStash is OpenSource. While this should not be directly construed as Free, it's a great start towards Free. OpenSource means that while it's free to download, there are no regular patch schedules, no support from a company, no engineer you can get on the phone / email to solve a problem. You are your own Engineer. You are your own Phone Call. You are your own ticketing system.
Negative: Since Logstash's features are so extensive, you will often find yourself saying "I can just solve this problem better going further down / up the Stack!". This is not a BAD quality, necessarily and it really only depends on what Your Project's Aim is.
Positive: LogStash is a dream to configure and run. A few hours of work, and you are on your way to collecting and shipping logs to their required addresses!
SentinelOne has already proved its value by stopping attacks that would have gone otherwise unnoticed until much later in their infection process.
The Vigilance team has provided quick response to threats that were not easily contained via the automated response SentinelOne's agents provide. This has given us a significant piece of mind.
I don't have any numbers to share but Splunk has positively served as a 24/7 monitoring tool that has saved hours of work by self-detecting, saving statistics and alerting problems in the system or from external interfaces as soon as they happen.
Splunk dashboards does a solid job in collecting, analyzing data and creating reports that contain an entire day's activity and then automatically sent out to the business.
Splunk is very easy to learn and very useful to any program or business application.
