

Find out in this report how the two AI Data Analysis 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.
There are licensing costs that have been saved when we moved some of the data platforms, decommissioned them, and moved on to this platform.
In terms of return on investment, I see great changes in operational effectiveness measured by RTO when comparing on-premises solutions with cloud solutions.
A specific example of the positive impact of Cloudera Data Platform is the clearly saved time and improved performance, which is the main result of it.
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.
I would rate the customer support of Cloudera Data Platform ten out of ten.
I have communicated with technical support, and they are responsive and helpful.
Cloudera support is timely and responsive, adhering to the SLAs they provide.
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.
CDP allows for easy, mostly automated scalability where I can schedule job workflows, fine-tune system resource metrics, and add nodes with just a click.
They have the cloud burst feature available where if the on-premises capacity is not sufficient at a point in time, you can run that Spark job on the cloud itself.
The ability to scale processing capacity on demand for batch jobs without impacting other workloads, and support for a growing number of concurrent users and teams accessing the platform simultaneously are significant advantages.
I did not notice any delays or issues with Amplitude's performance and speed when handling large datasets.
Sometimes the end user is not experienced or does not have all the expertise related to Cloudera specifically, making it very difficult to manage properly
Sometimes a node goes down, but it automatically returns to a healthy state.
Cloudera Data Platform is pretty stable in my experience; there are not any downtime or reliability issues.
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.
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
Cloudera Data Platform can be improved by addressing the feasibility of using it in the cloud; there are some complexities around the components used in cloud by Cloudera Data Platform that are not really convenient.
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.
Initially, CDH had a straightforward pricing model based on nodes, but CDP includes factors like processors, cores, terabytes, and drives, making it difficult to calculate costs.
We find Cloudera Data Platform to be cost-effective.
So far, I would say that it is competitive pricing that we have received.
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.
By using the Hadoop File System for distributed storage, we have 1.5 petabytes of physical storage with 500 terabytes of effective storage due to a replication factor of three.
The Ranger integration makes it more flexible and reliable for me by allowing control over data access, specifying who can access at what level, such as table level, masking, or data layer level.
What stands out the most in Cloudera Manager are SDX, which provide centralized control for governance, security, and data lineage across multiple sources.
| Product | Mindshare (%) |
|---|---|
| Cloudera Data Platform | 0.6% |
| Amplitude | 0.4% |
| Other | 99.0% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
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.
Cloudera Data Platform provides efficient data management through features like Hue, Spark, and Impala. It integrates open-source solutions, supports hybrid environments, and enhances data governance while prioritizing security, scalability, and cost-effectiveness.
Cloudera Data Platform addresses data management needs by supporting large-scale analytics, data science, and ETL processes. It facilitates seamless operation with Ambari UI for deployment and monitoring. Users benefit from robust security via Ranger, open-source compatibility, and a flexible eco-system that uses Hadoop components. While it simplifies setup and supports hybrid workloads, improvements in AI, machine learning, stability in Name Node High Availability, and cost management are ongoing needs. Challenges in tool usability, governance maturity, and scalability call for continued innovation, especially in cloud adoption and staying aligned with open-source technologies.
What are the key features of Cloudera Data Platform?Organizations in banking, healthcare, and hospitality leverage Cloudera Data Platform for data management, analytics, and cross-source integration. It handles complex data structures, bolsters AI workloads, and adheres to data compliance standards while integrating with tools like Spark, Kafka, and machine learning models.
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