

Find out in this report how the two Web Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment with Amplitude, saving about 120 man hours per month for a specific report that needs to be created.
It has saved us a lot of time since I can see the analysis as quickly as possible in the dashboard, resulting in significant time and money saved.
You can pursue answers whichever way you would prefer through the normal support routes or you can source it from the community that they offer on Slack.
There could be live chat support for different types of charges or solutions that would be more helpful.
Amplitude customer support is responsive.
The Snowflake Analytics documentation is excellent.
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
Amplitude's scalability is fine; I have millions of active users, tens of millions, with high throughput, and it performs great.
Amplitude is very scalable, considering that we do not have to do any manual work ourselves.
Amplitude is quite scalable.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
It supports both horizontal and vertical scaling effectively.
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
I did not notice any delays or issues with Amplitude's performance and speed when handling large datasets.
Snowflake Analytics has been stable and reliable in my experience.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
The Power BI team raised tickets for both Power BI and Snowflake Analytics, and their responses were very good.
Support could be improved. Sometimes I need to create a ticket and communicate with one of their advisors via email.
Longer form time series analysis seems nearly impossible to do on this platform.
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.
AIML-based SQL prompt and query generation could be an area for enhancement.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
Pricing is often egregiously high, and the company has changed billing models on us once already.
We are using a free version and would upgrade to a paid version if it were cheaper.
Amplitude's pricing is good and not overpriced; it is fair for the amount of data we are extracting and the analysis we perform.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Snowflake Analytics is quite economical.
Based on Amplitude charts and outcomes, our product team takes decisions, so it has improved decision-making.
Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster.
Collaboration was a significant part. What improves collaboration is the self-serve functionality, which was a big deal for PMs to have access to just that data and also the base layer of how that data is structured, which connects to clicks that every report refers to.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
It is a data offering where I can see data lineage, data governance, and data security.
| Product | Market Share (%) |
|---|---|
| Amplitude | 15.6% |
| Snowflake Analytics | 2.9% |
| Other | 81.5% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 12 |
| Large Enterprise | 21 |
Amplitude is a digital analytics platform that empowers businesses to understand and optimize customer experiences. It offers real-time insights into user behavior, helping companies identify patterns, measure engagement, and build data-driven strategies to improve their products and increase customer satisfaction.
This platform provides comprehensive analytics, combining data science and machine learning to help teams visualize trends and predict user needs. It integrates seamlessly with various data sources, making it easy to analyze customer journeys, track user interactions, and understand how features contribute to business goals. It also supports cohort analysis to group users based on behaviors, aiding personalized product improvements.
Key features include:
Benefits of using Amplitude include the ability to improve customer retention by understanding key engagement drivers, increase conversion rates through optimized funnels, and refine user experiences with more accurate segmentation. This leads to increased ROI as teams can focus on the most impactful improvements.
Amplitude is valuable across various sectors like e-commerce, fintech, and SaaS. It helps e-commerce teams refine product recommendations, fintech companies assess user acquisition strategies, and SaaS firms personalize onboarding experiences.
Pricing is tailored based on usage and features, offering free, growth, and enterprise plans. Customer support includes comprehensive documentation, a knowledge base, and expert guidance for setup, data management, and strategic analysis.
In summary, Amplitude helps businesses analyze and optimize digital user experiences to enhance engagement, conversion, and retention through a robust suite of analytical tools.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
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