We used it for data inboards and exposure.
Amplitude Digital Analytics Platform
Amplitude AnalyticsExternal reviews
External reviews are not included in the AWS star rating for the product.
Easy to use
Transformative Insights with Amplitude
Simple User Friendly Platform For Creating Amazing Analytics Of User Activity Seamlessly
Implementing it with the application is easy by simply giving the event name and a few properties and works well while integrated with the code without taking much effort in code execution.
Once the event is emitted the change is reflected in the graph within a few minutes also the application can handle a very high frequency of user activities without any trouble.
In case of doubts customer support is there to respond within a short period.
Reliable mobile & web analytics
Helpful team, ready to assist
Amplitude influences decision making through its analysis
Great data storytelling tool
Great Self-Serve Analytics Tool
Amplitude's self-serve nature is crucial both for enabling non-technical users to get value from our data, as well as for saving time for data scientists and other technical users. Data scientists love that Amplitude makes it easy to create dashboards so that they can dig deep spending their time on complex custom analyses
Amplitude is a great tool for creating really fast dashboards and for realtime website data.
The main way I learn about our product usage
Love intercom as a way of getting support and leaving feedback.
I also want sankey diagrams. Some funnels branch in multiple places and the current linear view is not helpful.
Data from Amplitude has good properties for segmentation. allows real-time tracking, segmentation, and have a complex architecture
What is our primary use case?
How has it helped my organization?
We had to integrate Amplitude into our system and enable import and export features. I worked with it in my previous company, where I integrated Amplitude with the app. We could import and export data, events, and user properties from Amplitude to our system. Amplitude collects the data, and we could have that data in our system so clients who use the app could also have access to Amplitude.
Real-time analytics:
We enabled real-time analytics in our app product, but it's our customers who utilize these features for their business use cases. We allow real-time tracking, segmentation, and have a complex architecture.
When we receive an event, we process it through our Kafka clusters, and consumers get their relevant events. Tagged segments track changes in events or user properties. Whenever an event qualifies for a particular segment, the track segment is updated.
What is most valuable?
Segmentation is nice. We mostly generate our data so it can be effectively segmented. The data from Amplitude has good properties for segmentation.
Other areas like cohort analysis, defining key events, and user properties were also well-suited for Amplitude. It is an easy tool to use.
What needs improvement?
A few things could be improved. The part that we used didn't need much improvement, but for end-users, the real-time analytics based on Amplitude's data could be improved.
- The visualization of the properties can also be enhanced. Basically, the visualization could be better, and the real-time analytics can be enhanced.
- Currently, real-time analytics still has some delays. Amplitude could reduce latency to provide faster insights. For visualization, they could have more charts and graphs to give users a better picture of their data.
- The query builder could be improved. Simplifying the query builder with a better interface would make it easier for regular users. It might be easier for developers right now, but going forward, Amplitude could make it more UI-based.
For how long have I used the solution?
I have been using it for a year.
What do I think about the stability of the solution?
We had a support team. If we encountered bugs or needed assistance with any feature, we could contact them on their channel, and they would extend their support.
I personally didn't face any stability challenges, but other people working with them would usually post requests for support. If we wanted to make some changes to their common APIs, we could raise a request or create a pull request in their common repos.
I would rate the stability a nine out of ten. Its uptime and reliability are good. We didn't face issues with that. But why not ten out of ten because there are still areas for improvement. For example, the latency part. Reducing latency would improve real-time data processing. Also, Amplitude could have more detailed errors that could help make the system more stable. If users know the reason behind an error, they would understand that the system is still stable.
What do I think about the scalability of the solution?
The scalability was also good. We could handle large volumes of data efficiently.
It can handle large volumes of data and process real-time data. We can also get insights from it. The schema is flexible, which is a major concern for scalability. We can do a lot of horizontal scaling. It is available with Amplitude.
Scalability is good, but there might still be some areas for improvement. So, I would rate it nine out of ten.
How are customer service and support?
The customer service and support were responsive and had multiple channels for interaction, such as email, chat, and phone. They responded in a timely manner, especially through email.
However, they didn't offer 24/7 support, which would be more useful.
How would you rate customer service and support?
Positive
How was the initial setup?
I didn't have much difficulty with integration or setup because I had the required documentation.
They already had steps for installing the Amplitude SDK and the initial setup with the API key, so it wasn't challenging.
Deployment time: It would have taken a couple of days.
What was our ROI?
It is worth it because it collects high-quality data. For "cost efficiency" or "worth the money." What you give and then what you get. If I have to evaluate based on that, then it's like an eight out of ten.
It gives a good amount of utility for the cost we pay, like scalability and user-friendly features. Most of the things are user-friendly.
Overall, you can get a good experience working with it, even though it's a little higher on the pricing. If you're considering whether it's worth it in terms of money, you should look at your scalability needs.
If you anticipate that your data volume is going to increase a lot, then you have to consider the packages they offer. It's more of an analysis that you have to do based on your particular use case.
What's my experience with pricing, setup cost, and licensing?
Pricing is a little on the higher end, especially when considering scalability. The cost goes up significantly with larger volumes of data. Better cost management could be implemented.
What other advice do I have?
I would completely recommend it.
- Considering scalability, cost efficiency, and other aspects, I would give it an eight out of ten.
- For features, capabilities, and scalability, I'd give it a nine out of ten.
- For stability, I'd also give it a nine out of ten.
- For support and cost-effectiveness, an eight out of ten.
- Regarding integration, it has been effective and good, but with some other similar tools, it has been even more seamless. So, for ease of integration, I would also give it an eight out of ten.
Overall, considering all five factors, it would be somewhere between eight and nine. So, I'll rate it an eight out of ten.