Google offers the Firebase suite of application development tools, available free or at cost for higher degree of usages, priced flexibly accorded to features needed. The suite includes A/B testing and Crashlytics, Cloud Messaging (FCM) and in-app messaging, cloud storage and NoSQL storage (Cloud Firestore and Firestore Realtime Database), and other features supporting developers with flexible mobile application development.
$0.01
Per Verification
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
Okta
Score 8.9 out of 10
N/A
Okta is an enterprise grade identity management service, built in the cloud. IT can manage access across any application, person or device. Whether the people are employees, partners or customers or whether the applications are in the cloud, on premises or on a mobile device, Okta helps IT become more secure and maintain compliance. The Okta service provides directory services, single sign-on, authentication, provisioning, workflow, and built in reporting. ment systems.
Firebase provides an event based data model with well defined pre-determined dimensions. Where I've seen the strength of other platforms is the user interface where data is analyzed. However, other platforms such as AEP also have advanced data cleansing and standardization …
Firebase came to a multiuse case for our product for authenticating backend services, users on the app & get data on the user base using the dashboard.
Google Analytics is a powerful web-centric analytics platform. We have tested similar products in the past from start-ups to more established web analytics platforms like Adobe and continue to select Google Analytics. More recently with the integration of Google Firebase into …
I used Facebook Analytics for mobile and web games but Facebook Analytics was discontinued. Google Analytics is more universal and is suitable for both web and native mobile applications. Facebook Analytics is more suitable for apps and games on web and mobile. For mobile …
I chose Google Analytics because, without the Premium version, it is affordable and easy to use for basic ad tracking. It is a great way to see who is viewing our ads, which is a big part of my job. I am able to really collect all the data we need in order to better target our …
Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.
Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.
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.
Should be well-suited for a SaaS business organisation as they have a lot of internal applications and need a role-based authentication system between the various teams, improving security and audit log system to account for any breaches. It integrates well with internal applications such as Salesforce and Oracle. Best when need of SSO.
Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).
Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
City-specific data instead of just country-specific data would have been a huge plus as well.
I do have to reset my password quite frequently. However, I don't think there is really a way to improve this, as it's a good security measure.
It makes me re-sign in a couple of times a day, sometimes if I haven't used my laptop for a couple of hours, and sometimes just randomly throughout the day.
It doesn't remember my devices, either my laptop or phone. so it always calls that out.
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.
Okta has a passion to provide secure and scalable identity solution. Their passion has come across as advocacy in a way that has deepened my knowledge of the field of authentication. I took identity for granted before but after seeing features such as external authentication I know that Okta can enable my business to reach new heights
I don't use the Firebase UI much, but rather connect it to GA4. GA4 has a great event model but the GA4 UI and analysis capabilities are limited. It's harder to measure product usage type of engagement but if you have the time and resources to leverage the GA4 to BiqQuery export you'll have all the raw event data you'll need for deep analysis, segmentation, and audience activation.
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
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.
The Okta Identity Cloud advertises 4 9's of reliability and I would go as far to say that it may even do better than that. As a true Global organization that operates in just about every region of the world, we have yet to have an issue with The Okta Identity Cloud that has impacted our business operations.
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
From my perspective, for the things that my group uses it for, Okta is very fast. It is as least as fast as the local password database methods that it replaces on our campus enterprise services. I do not believe that it slows anything down at all. In fact, not having to think too much about the login, because they all look the same, probably speeds things up somewhat.
Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.
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.
We've had a few support cases over the years and every case has been handled by the Okta support team beautifully. We received clear answers to questions we had regarding setup and even were provided simple to follow guides on how to setup their product to use with custom applications.
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.
Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.
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.
Okta is far superior in terms of integrations, user interface, automation, and connectivity. Additionally, Okta offers better support and availability, and a more robust solution across every capacity Entra competes in. Okta simply works, whereas Microsoft Entra has a large overhead that is difficult to use when configuring things.
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
Being a cloud native application, The Okta Identity Cloud is extremely scalable and easy to setup. By integrating into existing directories and applications via standard techniques and protocols, it is very easy to both initially setup and add additional users as required. Once all the necessary integrations are setup, it's a simple rinse and repeat process to onboard additional users (which can be automated with imports as well)
Makes building real-time interfaces easy to do at scale with no backend involvement.
Very low pricing for small companies and green-fields projects.
Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.
Increased user productivity - not fighting with IT all the time!
Though there could be a bit more on the 'lost/broken phone' front, the self-service eliminates time that would typically be spent waiting for IT support/admins.
An Okta account under a certain domain allows proper access from the get-go, and under certain apps (such as our HRIS), adding members is easy.
Improved security - deactivating Okta removes all account access across multiple platforms instantly for leavers.
