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Amplitude vs Deepset AI Platform comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amplitude
Ranking in AI Customer Experience Personalization
8th
Average Rating
8.6
Reviews Sentiment
5.3
Number of Reviews
11
Ranking in other categories
Customer Data Analysis (1st), Web Analytics (1st), Mobile Marketing and Advertising (2nd), User Activity Monitoring (5th), AI Data Analysis (13th)
Deepset AI Platform
Ranking in AI Customer Experience Personalization
27th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Finance & Accounting (8th)
 

Mindshare comparison

As of July 2026, in the AI Customer Experience Personalization category, the mindshare of Amplitude is 0.9%. The mindshare of Deepset AI Platform is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Customer Experience Personalization Mindshare Distribution
ProductMindshare (%)
Amplitude0.9%
Deepset AI Platform0.7%
Other98.4%
AI Customer Experience Personalization
 

Featured Reviews

Saurav Bhattacharjee - PeerSpot reviewer
Senior Business Analyst at Arcteryx
Empowers teams to build visualization-rich reports and make faster decisions using historical user behavior data
I think areas for Amplitude's improvement include data retention. The maximum data I have worked with, the clickstream data on Amplitude, is two years, whereas we rely on Tableau for historical data of at least two years. I am not sure whether it was my organization paying for lower retention or not, but having historical data would take away the reliance on Tableau. Secondly, reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful. Lastly, a more focused approach on error logs is necessary. I have found that, at least with Intuit, we used Splunk more for error logs than Amplitude. Although Amplitude had the capability, developers seemed to prefer Splunk, so if that could be improved, it would be good.
CH
Gen Ai Engineer at extend 7.ai
Pipeline framework has transformed how I evaluate RAG models and optimize vector search
The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time. The pipeline feature and the ease of composing with large language models and vector search save me a lot of time by not writing the code from scratch. I just build the pipeline because Deepset AI Platform provides the out-of-the-box integration with the tools and stack that I am using, including the OpenAI model as well as the Pinecone API. I do not need to implement the details; I just use the existing tools in Haystack, pulling it together for the pipeline. This allows me to avoid too much detailed coding and saves me a lot of work, enabling me to focus on the evaluation. Deepset AI Platform positively impacts our organization because we previously did not use any framework for Gen AI applications, and the introduction of this stack provides a framework for our team. It lets our team think about it and shows that it is worth introducing a framework in the future.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Other areas like cohort analysis, defining key events, and user properties were also well-suited for Amplitude. It is an easy tool to use."
"Amplitude is a perfect product that will always fulfill all the data-related needs that your company has, and I would suggest anyone to go for it."
"I loved using Amplitude because it allowed me to dive deep into product usage and analyze different customer segments."
"We can create charts and bar charts for visualization purposes and check real-time data with the solution."
"Amplitude offers flexibility in real-time data analysis, allowing users to make immediate decisions."
"Having accessible data which can be easily customized and manipulated by even business stakeholders with less technical knowledge is one of the best things."
"Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster."
"Amplitude has impacted my organization positively in a huge way, as everyone uses it to gain insights into user behavior before implementing new features, which leads to massive positive change, data-driven development, lots of learning, and encouragement to use Amplitude in daily work for everyone in the company, not just analysts."
"Specific outcomes since using Deepset AI Platform include ROI from fewer unsupported AI answers, faster context retrieval, and better manager trust in our quality answers."
"The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time."
 

Cons

"Regarding how Amplitude can be improved, I think that dashboards and charts are ephemeral; people often create dashboards but rarely revisit them, so while a handful of dashboards might survive, the real value lies in the insight derived from them."
"Amplitude could be improved by being cheaper."
"Setting up reports in Amplitude was challenging for me as a newer user."
"The free features in Amplitude Analytics need enhancement."
"I give it a nine because it is close to a perfect ten for me, but it is only useful in one layer of the project, not the other, which the tool is supposed to do."
"I think areas for Amplitude's improvement include data retention. The maximum data I have worked with, the clickstream data on Amplitude, is two years, whereas we rely on Tableau for historical data of at least two years."
"The visualization of the properties can also be enhanced. Basically, the visualization could be better, and the real-time analytics can be enhanced."
"Amplitude is almost perfect, but there are some charts I cannot create due to the large data structure."
"Deepset AI Platform's accuracy and reliability of output are very good when the pipeline is simple and the data is already clean. However, when the data is not clean and the pipeline is complex, the quality and reliability of Deepset AI Platform decrease."
 

Pricing and Cost Advice

"Pricing is a little on the higher end, especially when considering scalability."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
12%
Insurance Company
9%
Manufacturing Company
8%
Outsourcing Company
7%
Construction Company
44%
Comms Service Provider
12%
Outsourcing Company
7%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise9
No data available
 

Questions from the Community

What needs improvement with Amplitude?
Amplitude can be improved by allowing more than a two-year look back window for most analyses. Usually, all they offer is that two-year look back window, and longer form time series analysis seems ...
What is your primary use case for Amplitude?
Amplitude is our main product insights system, and it allows us to view the activity on our website and quantify certain KPIs about how users interact with the site. We measure things such as month...
What advice do you have for others considering Amplitude?
I chose a rating of nine out of ten because Amplitude has virtually every functionality that we need except for the aforementioned lack of long form time series analysis, and their pricing is often...
What needs improvement with Deepset AI Platform?
No improvements are needed for Deepset AI Platform.
What is your primary use case for Deepset AI Platform?
I have been using Deepset AI Platform for around six months. I use Deepset AI Platform mainly for Gen AI model evaluation for our RAG application. For example, we are using Deepset Haystack open-so...
What advice do you have for others considering Deepset AI Platform?
I do not have anything else to add about my main use case or how I use Deepset AI Platform in my process. I do not want to add anything else about the features. My advice for others looking into us...
 

Comparisons

 

Also Known As

ClearBrain
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Overview

 

Sample Customers

Nokia, Yik Yak, QuizUp, CrunchBase, Rhapsody, PlanGrid, Acquia, Patreon, SeatGeek, Etermax
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