GitHub is a platform that hosts public and private code and provides software development and collaboration tools. Features include version control, issue tracking, code review, team management, syntax highlighting, etc. Personal plans ($0-50), Organizational plans ($0-200), and Enterprise plans are available.
$4
per month per user
Splunk Cloud Platform
Score 7.9 out of 10
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Splunk Cloud Platform is a data platform service thats help users search, analyze, visualize and act on data. The service can go live in as little as two days, and with an IT backend managed by Splunk experts.
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Splunk Enterprise
Score 8.5 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.
Did not have a lot of say in the choice to go with GitHub, I am a member of the operations team that uses GitHub for our work, but was not involved in the decision making process. As a user of the application, I can say that it has helped us keep consistent configurations …
I believe there is no existing competitor of Splunk and the way Splunk Cloud provides support is way better than all the other competitors. No one can beat Splunk Cloud!!
My company used to use Loggly, and while I can't speak to the specifics of why we switched to Splunk, I do know that Splunk seems faster and has more features than Loggly. On the other hand, I've used Splunk much more than I used Loggly when we had it before, so my view could …
I have used several Solar Winds tools in the past to monitor and track similar things. Both tools are comparable in their performance. Each one has it's own set of challenges when getting set up for the first time as well as a learning curve to get comfortable with usage.
Splunk Enterprise is a very seasoned software , while other comparable software keep on adding new features and keep evolving, Splunk Enterprise has reached a state where new user onboarded doesnt have to request any basic feature or develop modules to simple tasks. Log parsing …
Splunk was better in terms of analyzing unstructured data. Also Splunk has had a very good and strong community and is also has a more tried and tested performance. I personally found the dash boarding capability of Splunk better than Datadog.
We originally used Kiwi Syslog but this was not able to keep up with the level of logs that were being sent to it. Also Kiwi does not allow you to search through logs, create alerts, etc. or any of the other features Splunk has. It is purely just a web GUI for syslog.
GitHub is an easy to go tool when it comes to Version Controlling, CI/CD workflows, Integration with third party softwares. It's effective for any level of CI/CD implementation you would like to. Also the the cost of product is also very competitive and affordable. As of now GitHub lacks capabilities when it comes to detailed project management in comparison to tools like Jira, but overall its value for money.
Splunk is excellent when all your data is in one location. Its ability to correlate all that data is intuitive (once the hurdle of learning the query language is overcome). It is also easy to standardize the presentation of information to the company. When data is siloed/standalone, other systems can be cheaper and faster to implement.
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.
Version control: GitHub provides a powerful and flexible Git-based version control system that allows teams to track changes to their code over time, collaborate on code with others, and maintain a history of their work.
Code review: GitHub's pull request system enables teams to review code changes, discuss suggestions and merge changes in a central location. This makes it easier to catch bugs and ensure that code quality remains high.
Collaboration: GitHub provides a variety of collaboration tools to help teams work together effectively, including issue tracking, project management, and wikis.
This SIEM consolidates multiple data points and offers several features and benefits, creating custom dashboards and managing alert workflows.
Splunk Cloud provides a simple way to have a central monitoring and security solution. Though it does not have a huge learning curve, you should spend some time learning the basics.
Splunk Cloud enables me to create and schedule statistical reports on network use for Management.
Not an easy tool for beginners. Prior command-line experience is expected to get started with GitHub efficiently.
Unlike other source control platforms GitHub is a little confusing. With no proper GUI tool its hard to understand the source code version/history.
Working with larger files can be tricky. For file sizes above 100MB, GitHub expects the developer to use different commands (lfs).
While using the web version of GitHub, it has some restrictions on the number of files that can be uploaded at once. Recommended action is to use the command-line utility to add and push files into the repository.
GitHub's ease of use and continued investment into the Developer Experience have made it the de facto tool for our engineers to manage software changes. With new features that continue to come out, we have been able to consolidate several other SaaS solutions and reduce the number of tools required for each engineer to perform their job responsibilities.
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.
GitHub is a clean and modern interface. The underlying integrations make it smooth to couple tasks, projects, pull requests and other business functions together. The insights and reporting is really strong and is getting better with every release. GitHub's PR tooling is strong for being web based, i do believe a better code editor would rival having to pull merge conflicts into local IDE.
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.
There are a ton of resources and tutorials for GitHub online. The sheer number of people who use GitHub ensures that someone has the exact answer you are looking for. The docs on GitHub itself are very thorough as well. You will often find an official doc along with the hundreds of independent tutorials that answers your question, which is unusual for most online services.
Splunk Cloud support is sorely lacking unfortunately. The portal where you submit tickets is not very good and is lacking polish. Tickets are left for days without any updates and when chased it is only sometimes you get a reply back. I get the feeling the support team are very understaffed and have far too much going on. From what I know, Splunk is aware of this and seem to be trying to remedy it.
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.
While I don't have very much experience with these 2 solutions, they're two of the most popular alternatives to GitHub. Bitbucket is from Atlassian, which may make sense for a team that is already using other Atlassian tools like Jira, Confluence, and Trello, as their integration will likely be much tighter. Gitlab on the other hand has a reputation as a very capable GitHub replacement with some features that are not available on GitHub like firewall tools.
Search Processing Language really is a game changer for writing easy-to-understand and maintainable queries on your data base logs. Once understood, setting up and validating a query can be done in no time- which leaves us the option to focus on more monitoring and improved services. We have no other tools that utilizes data this efficiently
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.
Team collaboration significantly improved as everything is clearly logged and maintained.
Maintaining a good overview of items will be delivered wrt the roadmap for example.
Knowledge management and tracking. Over time a lot of tickets, issues and comments are logged. GitHub is a great asset to go back and review why x was y.
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.
