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
Google Analytics
Score 8.2 out of 10
N/A
Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
New Relic
Score 7.8 out of 10
N/A
New Relic is a SaaS-based web and mobile application performance management provider for the cloud and the datacenter. They provide code-level diagnostics for dedicated infrastructures, the cloud, or hybrid environments and real time monitoring.
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Pricing
GitHub
Google Analytics
New Relic
Editions & Modules
Team
$40
per year per user
Enterprise
$210
per year per user
Google Analytics 360
150,000
per year
Google Analytics
Free
Free (Forever)
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Telemetry Data Platform
$0.25
per month per extra GB data ingest (after first free 100GB per month)
Incident Intelligence
$0.50
per month per event (after first 1000 free events per month)
Standard
$99
per month per full user (after first free full user - unlimited free basic users)
Bitbucket didn't offer enough of an incentive to switch our current repository. When Microsoft acquired GitHub, we started looking at other alternatives, and decided to stay for convenience.
I have used TortoiseSVN before. With SVN we don't have local source control if not connected to the repository. Git is decentralized and helps us in working remotely and committing to a repository when not local.This also adds the complexity of which commands work locally and …
GitHub is the best git repository service available and the industry standard. It's fast, reliable, and constantly adding new services. Bitbucket and Gitlab are both good, free (or inexpensive) alternatives, but they lack some of the design and speed of GitHub. Both alternative …
Traditional source control and sharing systems are far more limited and have substantially more operational overhead. Any organization housing the servers, and managing the software, for file sharing and source control are spending substantial time and money to do so. Github …
Google Analytics goes head to head when it comes to basic browser and activity tracking, but falls behind when it comes to full tracking of a request and the performance impact it has on a web site or application. A lot of this is due to the fact that Google Analytics can only …
Google Analytics is useful for end-user traffic distribution and when combined with New Relic provides a more complete picture on user interaction with our site.
Our organisation uses PaperTrail for logging purposes. New Relic captures system logs or errors but it's not great [at] capturing an end to end cycle of an operation. PT works great in those types of cases.
All of these apps have pros and cons. AppDynamics is very powerful and provides excellent reporting and deep dives on performance. Tableau Desktop's setup can be a bit tedious, but once it is done, it is a great tool to provide visual performance reports. However, the lack of …
Prometheus is open source and it's [a] bit tough to configure and monitor, it has some plugins to help. The main advantage of Prometheus is we can install on-prem and data doesn't have to leave the network. On the contrary, New Relic is easy to set up and very very easy to keep …
I have used CloudWatch and Data Dog. I appreciate CloudWatch because it's native to the cloud. Spin up resources and your data is collected without having to do anything. However, the UI is lacking in areas and getting alerting in place can be a challenge. It's likely that …
New Relic is very good at monitoring and alerting. I prefer Splunk or Kibana for logging. Datadog is good at aggregating stats and triggering alerts. New Relic provides the best monitoring solution out-of-the-box, minimal setup and configuration is needed to start immediately …
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.
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
New Relic its an excellent tool for monitoring services used on the SAAS universe, like web servers, relational and nosql dbms, reverse proxies, text databases, etc. Its also a powerful tool to monitor resource usage on said servers. However, its not well fitted to monitor custom services - if you need to generate alerts based on logs or database information, for example
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.
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.
And while powerful, building tailored dashboards with organ-specific metrics (such as energy load variance across regions) can be difficult to navigate. The UI isn't as drag-and-drop easy, and query-based widgets typically involve some trial and error for non-devs.
Alerts may be hypersensitive or over general. I We often get a spam of non-critical alerts while doing load testing, all overhauling to me alone and making it difficult to identify actual issues especially in energy systems where spikes are very common.
With our expanding fleet of Iot devices, the per-host pricing model is becoming expensive, quickly. More detailed billing based on microservices, or that works at sensor level, would make it more adaptable for energy platforms.
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 will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
The only issue that we have had with New Relic is that the price might be a little expensive for smaller companies. The amount of data you store in New Relic impacts the cost, and can get away from you if you don't work closely with the vendor. Overall though the application is top notch.
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.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
I have given this much rating as I am used New Relic in different sectors and for different use cases like its K8s monitoring, infra monitoring, full stack monitoring as compare to other tools New Relic gives data in a formatted and connected way, and also it is giving us value for money. It also launches new features day by day which helps users to track the issue very quickly. It also supports OTel integrations which is the latest trend of observability tools. thats why I had given this much rating to New Relic.
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
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.
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
It's better to start by implementing New Relic in one project and test everything. Try to follow best recommended practices and read all the official documentation. Everything seems well tested. Then, start by installing agents to the rest of your projects and keep a close look to all logs and metrics New Relic gives you.
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.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
Data Dog has solutions that look more attractive, but not at their price point. We have also tried to build a solution straight from the Cloud, where our business is built, but some things are too hard to replicate. This shows that New Relic is useful and helps our efficiency.
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
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.