Cloudera on AWS

What do you like best about the product?

Great platform for hosting my tech ecosystem and AI solutions

What do you dislike about the product?

More capabilities on cloud since most of my data is on cloud

What problems is the product solving and how is that benefiting you?

great platform to host my systems

What do you like best about the product?

one platform served anything essentials in data engineering

What do you dislike about the product?

interface less user friendly, long loading time

What problems is the product solving and how is that benefiting you?

big data pricessing

What do you like best about the product?

Cloudera is a next-generation platform for data, cloud, and AI solutions that work anywhere.

What do you dislike about the product?

Nothing specific to point out—everything is great.

What problems is the product solving and how is that benefiting you?

Big data platform. It provides a centrally governed foundation for key banking workloads.

What do you like best about the product?

I really appreciate how it provides an all-in-one ecosystem for data engineering and machine learning

What do you dislike about the product?

Setting up and running the ecosystem is notoriously heavy, especially if you are deploying on-premises.

What problems is the product solving and how is that benefiting you?

Cloudera is primarily designed to eliminate the friction, security risks, and high costs associated with managing fragmented, large-scale data ecosystems across multi-cloud and on-premises environments.

What do you like best about the product?

I like that Cloudera allows organizations to leverage modern platforms to run legacy workloads, which helps in getting out of SAS licenses, hardware, and maintenance. I enjoy the idea of 'Cloudera anywhere,' where models can utilize Cloudera data anywhere after migrating from SAS. The initial setup was very easy, which is a big plus for me.

What do you dislike about the product?

I feel like Cloudera is a bit late in the AI and unified data market. Other tech companies had oriented themselves towards these areas a few years earlier than Cloudera did.

What problems is the product solving and how is that benefiting you?

Cloudera allows us to run legacy SAS workloads on a modern platform, helping customers move away from costly SAS licenses, hardware, and maintenance.

What do you like best about the product?

Can be used anywhere, flexible and well consolidated data

What do you dislike about the product?

There seems to be many steps to go about the functions

What problems is the product solving and how is that benefiting you?

Providing a platform for multi agents

What do you like best about the product?

The UI and the features are great, it’s good

What do you dislike about the product?

The ai still has room for improvement, it could be better

What problems is the product solving and how is that benefiting you?

Cloudera provides a unified platform to manage massive enterprise datasets, eliminating data silos across on-premise and cloud environments. It streamlines large-scale data processing pipelines and accelerates our data science workflows by enabling seamless model training and deployment. This has significantly reduced query latency, cut infrastructure management overhead, and empowered our team to deliver faster, data-driven business insights.

What do you like best about the product?

Cloudera stands out for several core capabilities, particularly for enterprises managing complex, large-scale data ecosystems.

Hybrid and multi-cloud flexibility: Cloudera’s “write once, run anywhere” philosophy helps organizations manage workloads smoothly across public clouds, private data centers, and the edge.

Enterprise-grade governance and security: With features like Shared Data Experience (SDX), it offers centralized access control, auditing, and end-to-end data lineage across environments.

Open data lakehouse architecture: Built on open standards like Apache Iceberg, it supports analytics and machine learning directly on large-scale data while avoiding vendor lock-in.

Integrated open-source stack: It combines major big data engines—such as Apache Spark, Kafka, Hive, and NiFi—into a single, managed platform.

What do you dislike about the product?

The AI’s answers sometimes contain mistakes.

What problems is the product solving and how is that benefiting you?

making work simple

What do you like best about the product?

UI and experience for end user and Data Services

What do you dislike about the product?

Product stability and data services frequent upgrade

What problems is the product solving and how is that benefiting you?

Analytics

What do you like best about the product?

It is safe and reliable to use, also has good services.

What do you dislike about the product?

the platform can be slow when multiple people are using

What problems is the product solving and how is that benefiting you?

It helps me query and join different tables, which makes it easier for me to work with my data.