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
SAP Customer Data Solutions
Score 8.0 out of 10
N/A
The SAP Customer Data Cloud, based on Gigya (acquired by SAP in 2017) is a product suite that allows users to identify consumers, business customers, or partners across devices and channels to drive registrations and engagement; manage access, permission, and consent; and transform data into unified customer profiles.
N/A
Pricing
Firebase
SAP Customer Data Solutions
Editions & Modules
Phone Authentication
$0.01
Per Verification
Stored Data
$0.18
Per GiB
No answers on this topic
Offerings
Pricing Offerings
Firebase
SAP Customer Data Solutions
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Firebase
SAP Customer Data Solutions
Features
Firebase
SAP Customer Data Solutions
Tag Management
Comparison of Tag Management features of Product A and Product B
Firebase
-
Ratings
SAP Customer Data Solutions
7.8
28 Ratings
5% below category average
Tag library
00 Ratings
7.827 Ratings
Tag variable mapping
00 Ratings
7.725 Ratings
Ease of writing custom tags
00 Ratings
7.826 Ratings
Rules-driven tag execution
00 Ratings
7.826 Ratings
Tag performance monitoring
00 Ratings
7.925 Ratings
Page load times
00 Ratings
8.026 Ratings
Mobile app tagging
00 Ratings
7.625 Ratings
Library of JavaScript extensions
00 Ratings
7.724 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Firebase
-
Ratings
SAP Customer Data Solutions
7.9
28 Ratings
4% below category average
Standard visitor segmentation
00 Ratings
7.928 Ratings
Behavioral visitor segmentation
00 Ratings
8.027 Ratings
Traffic allocation control
00 Ratings
7.627 Ratings
Website personalization
00 Ratings
8.026 Ratings
Customer Data Management
Comparison of Customer Data Management features of Product A and Product B
Firebase
-
Ratings
SAP Customer Data Solutions
7.9
29 Ratings
6% below category average
Account Scoring
00 Ratings
7.527 Ratings
Customer Data Governance
00 Ratings
8.128 Ratings
Data Connectors
00 Ratings
7.829 Ratings
Data Enhancement
00 Ratings
7.929 Ratings
Data Ingestion
00 Ratings
7.729 Ratings
Data Storage
00 Ratings
8.129 Ratings
Data Visibility
00 Ratings
7.829 Ratings
Event Data
00 Ratings
7.727 Ratings
Identity Resolution
00 Ratings
8.227 Ratings
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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.
It's best suited for business business to turn digital interaction in to richer and high value and experience that reach across computing platform also it offers a holistic and integrated approach to managing customer data and enhancing and personalized experience.it also draw actionable insights.because it offers wide range of products . perfect customer insight data solutions
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).
SAP's Customer Data Solutions provide a comprehensive customer view by collecting detailed data, including age, web activity, and buying history.
The software's strong analytics features give valuable information about how customers use content and products, so we can enhance our strategies.
SAP Customer Data Solutions offers insights to create specific marketing campaigns that sort audiences by preferences, browsing, and purchase behavior.
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 find the interface a bit complex and challenging to navigate. I remember having difficultly grasping it completely especially when I was new to the system. Simplifying the user experience would make it more accessible for everyone, making tasks quicker and more intuitive.
integrating it seamlessly with other software and platforms could enhance its functionality. I would really really love an integration between BenchMark email marketing tool.
On the whole I am really impressed with SAP Customer Data Solutions and would highly recommend that other professionals look at this software to enhance their B2C and B2B sales
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.
We mostly work with the API which is of very good quality and is well documented.However, some of our success is also due to having very talented developers on staff, and also understanding advanced gamification design. The tool supports a talented team! It won't actually do everything for you automatically.
Customer Data Solutions availability has been pretty good, anytime there has been any issues like I mentioned before, support staff has been quickly avialable to help trouble shoot things. Customer data solutions has had very few outages during out time using it as well and when they happen it's a quick resolution.
There are some latency issues. The 24 hour caching problem mentioned earlier is a problem. Sometimes the Gigya system makes two calls instead of a single call if we go directly to the social platform. For this reason, it's sometimes more efficient to go direct rather than use Gigya.
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.
We have had multiple instances of help from Gigya to get our custom implementation working, including detailed technical assistance to a third party. We have found Gigya to be thorough and timely in their responses to all queries, which are consistently excellent.
They trained me in a train the trainer model. I then trained the internal team. Total training was about two hours, with an additional two hours for system setup. Training was maybe a little thin, but the system was fairly easy to learn and this wasn't really a problem.
There was a bit of a learning curve in the beginning, and perhaps we were unclear on some of our requirements. Once they figured out what we wanted though, things went pretty smoothly. Just some minor hiccups in the beginning
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.
There is a dedicated team for SAP setup that helps in providing specialized or customized services to the user. The platform's accessibility lets us obtain reports and information in real time so we reach clients at the proper moment by optimizing delivery time appealed to us the most.
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.