Likelihood to Recommend 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.
Read full review IBM Cloud Pak for Applications is clearly suitable for modernizing the WebSphere runtime from the heavy, complex and expensive WAS-ND, and to a lesser extent WAS-base, to the super simple, fast and lightweight WebSphere Liberty runtime. I guarantee, once you start using Liberty you'll never look back. Enough cannot be said about how awesome Transformation Advisor is. The output analysis it produces, along with the migration plan and associated artifacts, considerably simplifies both the decision-making process surrounding modernization and subsequent implementation. Without TA we would've made bad decisions by blindly picking unsuitable apps for moving from WAS to Liberty. Using the results from TA we've excluded multiple WAS apps from our immediate plans to migrate to Liberty, saving time and effort that probably would have resulted in a failed migration. We recently used Transformation Advisor to help us successfully migrate an app from Tomcat to WebSphere Liberty. We needed to make some changes to the Tomcat app, but TA helped highlight these required changes. Without TA I'm not sure we would have succeeded.
Read full review Pros 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). Read full review Streamlining Application Development and Deployment Modernizing Existing Applications Read full review Cons 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. Read full review While the licensing is considerably simplified than it used to be, I still find it somewhat confusing. For example, WebSphere Liberty Core has an 8:1 VPC ratio. This is clear when dealing with VMs but it is still not clear to me as to whether we get an 8:1 ratio when running on OpenShift or whether we need to purchase additional OpenShift licenses to support running WebSphere Liberty Core in OpenShift. Not so much related to IBM Cloud Pak for Applications, but while Transformation Advisor is an indispensable tool to help modernize to the WebSphere Liberty runtime, I wish we could run it against WebSphere Liberty itself. The reason being, we are now using TA as a single repository for our configurations. TA also highlights many potential issues when migrating to Liberty; these issues may also be applicable for apps already running in Liberty, we just don't know it yet. Read full review Usability It is simple to use overall, the console's main menu is divided into Develop, Quality, Analytics and Grow - which have further subdivisions by their set of features and tools. Develop and Quality are relevant for product and tech. Analytics is relevant for product, analytics and Grow is relevant for marketing. This makes the overall use very easy.
Read full review Support Rating 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.
Read full review Alternatives Considered 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.
Read full review Comparing IBM Cloud
PAK for Applications against alternatives highlights its distinct advantages. Its robust support for hybrid and multi-cloud environments enables unmatched flexibility in application deployment, crucial for businesses seeking to leverage various cloud services. This contrasts with platforms that may limit their focus to a single-cloud approach or offer restricted multi-cloud capabilities.IBM Cloud
PAK 's seamless integration with AI and data analytics, particularly through IBM Watson, provides powerful tools for developing AI-driven applications. This integration is a key differentiator from competitors that might not offer as comprehensive AI and analytics tools, allowing businesses to easily incorporate advanced technologies into their applications.Furthermore, IBM Cloud
PAK for Applications prioritizes ethical AI development and compliance with regulatory standards, aligning with OpenAI’s guidelines. This commitment is essential for organizations that value responsible AI practices and need to adhere to strict privacy and security regulations.The selection of IBM Cloud
PAK for Applications was driven by its holistic approach to application development, offering a blend of flexibility, advanced technological integration, and a commitment to ethical standards, making it a superior choice for businesses focused on innovation while adhering to ethical and legal standards.
Read full review Return on Investment 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. Read full review We have been able to migrate apps away from the expensive WAS-ND to the more cost-effective WAS-base without throwing away our WAS-ND licenses. With a 1:4 ratio of WAS-ND to WAS-base we've been able to we've been able to save in excess of 75% on licensing charges for these apps. By having a license model based on VPC ratios (1:4:8 - WAS-ND:WAS-base:Liberty core) we've been able to move away from using license pooling resulting in over-allocating (i.e. wasting) CPU cores for each license pool, to using consolidated license pools hosting a combination of WAS-ND, WAS-base and Liberty-core. This has allowed us to reduce our licensing costs accordingly. Read full review ScreenShots