I find that Amplitude can definitely be a bit of a challenge to pick up at first. The UI is powerful, but navigating through the advanced performance settings and cohort builders can be a steep learning curve for team members just starting out. I also find myself wishing for more intelligent automation around taxonomy management; keeping data clean as we scale requires a lot of manual lifting that I think could be better handled by AI suggestions. From a pricing standpoint, it can also get quite expensive as your data grows, which means we have to stay really hands-on with monitoring to make sure we're seeing the right ROI. A more guided onboarding or deeper native support for these specific scaling pain points would make a big difference in the daily experience. Review collected by and hosted on G2.com.

While the platform is undeniably powerful, it isn’t always the easiest to pick up. The interface can feel overwhelming for new team members, making the learning curve for advanced analysis quite steep. I also find that as our data needs grow, the costs climb fairly quickly, requiring us to be very diligent with monitoring to ensure we’re getting the right value. Additionally, while the integrations are extensive, managing data taxonomy at scale is still a manual effort, and sometimes the performance can feel a bit sluggish when running complex, high-volume queries. It would be a huge help to see more intuitive, AI-driven guidance built into the onboarding process to help new users get up to speed faster, streamline our taxonomy, and optimize overall query performance. Review collected by and hosted on G2.com.

I really like how Amplitude Analytics keeps the event specs and code in sync, making it simpler to work with the Analytics Team. It makes sure no information is missed when an analyst creates an event, as all necessary details are automatically synced into the codebase. This effectively bridges the gap between analysts and software engineers, eliminating the need for manual synchronization of event specifications. Review collected by and hosted on G2.com.

The dashboard is quite confusing to navigate, making it hard to find where events are shown and how to configure experiments. It would help to have separate views for different users, such as one for those who consume data and another for those who create events. Also, remembering to access the EU instead of the US website can be problematic, as the login flow does not redirect to the correct instance. I often find it difficult to navigate to the correct tab, especially since developer-related information lives under 'Data,' which is relatively hidden in the menu. Renaming the 'Data' tab and adding more links to it from different parts of the dashboard could be very helpful. Review collected by and hosted on G2.com.

Honestly, Amplitude has become the tool I open before anything else in the morning. Building charts is fast and intuitive — you can go from "I wonder why checkout drop-off spiked" to a segmented funnel with cohort filters in under five minutes, no SQL needed. The event segmentation and funnel views are super flexible, and once you get the hang of the property filters, you can slice data in ways that would take hours in a BI tool.

Session replays are a nice bonus too — being able to jump from a funnel drop-off directly into real user recordings to see what actually happened is genuinely useful and saves a lot of back-and-forth with the team.

On the integration side, the MCP connector has been a game changer for us. We can pull Amplitude data into our broader analytics workflows programmatically, which means less manual exporting and more time actually acting on insights. Review collected by and hosted on G2.com.

The API has some real limitations that catch you off guard. There's a hard cap on how many series you can query at once, which means for larger analyses you end up exporting CSVs manually from the UI — not a dealbreaker, but a bit clunky. Some of the more advanced filter behaviors (especially around multi-value properties) aren't well documented, so there's a lot of trial and error if you're doing anything non-standard.

Onboarding is also trickier than it looks. The UI feels approachable but there's a lot of depth hidden underneath, and new team members often underuse it for the first few months without dedicated enablement. Review collected by and hosted on G2.com.

I like that they allow me to deeply configure the data and metrics I want to observe; moreover, the artificial intelligence offers quite a precise guide to achieve what I'm looking for. The interface can be overwhelming at first, but with use and the support of AI, one gets oriented in no time. Review collected by and hosted on G2.com.

The interface is overwhelming, there are many options to choose from and finding something specific can be challenging, but the artificial intelligence was very efficient in helping me with this. Review collected by and hosted on G2.com.

I really appreciate the amazing support for TypeScript. Since our entire system is built in TypeScript, being able to download the description of every single event in TypeScript helps us ensure our code isn't drifting away. The branching and versioning features built into their library are great because they allow our team to use the platform in various ways without a single point of failure. Additionally, the Chrome extension makes it much easier for us to test and play around with the system without spending too much time, which is easier compared to alternative options. Review collected by and hosted on G2.com.

I feel like there could be a beginner friendly interface in our company. Our engineering and product team is very savvy in using Amplitude. But some of the other departments find it too intimidating to use Amplitude on a day-to-day basis. Also, giving the ability to build dashboards and then share with specific people would be useful. So essentially not public links, but controlled links where we can just share it with a couple of people via their email. It wasn't actually too easy to set up because we had a mono repo and we didn't have Amplitude from the get-go, so it meant that we had to experiment a lot with how we can make it work. Review collected by and hosted on G2.com.

Creating a chart is very easy and intuitive. The charts also look good and are easy to update. The browser extension is also very helpful and has a good UI Review collected by and hosted on G2.com.

While it is easy to create basic charts from simple calculations and queries, I have not found a clear way to handle more complex calculations for chart creation in Amplitude. This may be a gap in my understanding, but at the moment, the workflow does not feel very intuitive. Review collected by and hosted on G2.com.

I think the ease of use of Amplitude Analytics is one of the things I like the most. The interface is user-friendly and the UX is good, which makes everything very simple. The visualizations have an interesting and modern design. The way Amplitude is used is quite intuitive, as it is more visual and conversational than writing in SQL. This allows me to use group by and filters in a very simple way. Additionally, the flexibility to create and expand visualizations is something I greatly value. Review collected by and hosted on G2.com.

One aspect I find problematic with Amplitude Analytics is the lack of data synchronization. Previously, Amplitude only read and stored data without updating it, which can be an issue since data is frequently updated. Compared to other more common BI tools like Tableau, Power BI, and Looker, where changes in the Data Warehouse are automatically reflected, this can be a downside. In Amplitude, the data remains static, and this can be a problem. Even if you update the data and set it as new, there is still the task of removing past data, which can be complicated. It was also a bit challenging at first to understand the different entities like the differences between Track, Identify, and Group events, which were new to us. Some features of Amplitude were unexpected, such as event management and changing event names and properties, which was challenging to understand and required adaptation. Review collected by and hosted on G2.com.

I like how snappy Amplitude Analytics is; it's really fast, making it super easy to create new charts without delay. I appreciate the quick analysis it offers, as it rapidly processes vast amounts of data and renders charts quickly, so you don't have to wait, even with thousands of records. The integration with Amplitude AI has made things even easier, allowing me to create comparisons and analyses simply by writing prompts in English within Slack or Amplitude. It usually does a great job and almost always gets the use case right. This makes it easier to not have to strictly adhere to Amplitude's native constructs like segmentation, funnels, and journeys, as you can simply specify your problem statement, and it generates a suitable chart. This flexibility and speed are what really stand out to me about Amplitude Analytics. Review collected by and hosted on G2.com.

I think the learning curve was slightly steep for me. I've used other products before, and coming to Amplitude Analytics for the first time, it can be a bit difficult to navigate. It takes some time to get used to it, but once you're onboard, it's really fast. For new users, it would be particularly easier if they could start off with letting AI create dashboards for them. Also, while there is an onboarding journey, the emails and information can feel like a lot. Maybe having a straightforward boot camp that gets new users up to speed with the types of charts and core features could help. It's possible these resources exist, but I haven't discovered them, which is something that could be improved. Review collected by and hosted on G2.com.

I love the ease of integrating Amplitude Analytics with the rest of our ecosystem. It makes requesting and measuring data very simple, and I can turn it into a real impact for stakeholders. Additionally, the initial setup was easy, which is a great benefit. Review collected by and hosted on G2.com.

The web interface is a bit confusing if you don't come from a data science background or similar. Possibly an optional tutorial or walkthrough could be helpful to improve this. Review collected by and hosted on G2.com.

I use Amplitude Analytics primarily to understand my app's behavior and user interactions. I love how it helps me track app failures and gives me a clear chart of events per user with exact data points. The chart and report features are incredibly helpful in deriving decisions—they're just a wow. I appreciate the wide variety of features it provides, making life easier by getting me the data I need. Its ability to show the user journey clearly with proper event validations makes it pretty easy to understand user behavior and quickly see what's useful and what's not. The live events feature is fantastic because it allows me to see the user interactions with my app in real time, helping me know instantly if something is working or broken. The initial setup was pretty simple and straightforward, which I appreciated. Review collected by and hosted on G2.com.

Sometimes it's hard for me to derive on decisions based on complex reports or data. The chart features help a lot in tracking user events, but sometimes it feels overwhelming with too many options, making it difficult to quickly find what matters to me. And I also felt like we would have made the UI a little simpler, as of now the UI feels a little complex for complicated actions. Review collected by and hosted on G2.com.