Cloudera Reviews & Product Details

They were slow to resolve any scaling and performance issues we faced. The product documentation needs to be more comprehensive. The pricing needs to be better especially considering the merger with Hortonworks. Review collected by and hosted on G2.com.

Things are mentioned. It does provide flexibility in managing data across platforms there needs improvements in terms of integration. The security measures are not decent. The platform is free to download and use the lack of customer support is difficult for users who encounter issues. Review collected by and hosted on G2.com.

1. The Best thing about Cloudera Data Engineering is its security, it's built for a high scala -enterprise-level data engineering activities.

2. It is user-friendly, which eases the integration of code in case of frequent usage.

3. Customer Care Service is up to the mark when it comes to addressing the issue.

4. It is a platform, built on Apache Spark, with tools such as Apache Airflow for automation, orchestration & monitoring makes it an easily usable tool that too with basic implementation. Review collected by and hosted on G2.com.

1. One of the major things that I dislike about Cloudera Data Engineering is its documentation and community support. I feel the documentation is very limited.

2. While running the airflow tasks simultaneously it gives an unauthorized error. Review collected by and hosted on G2.com.

1) The thing I love about Cloudera Data Engineering is that it is secure, built for a high-scale enterprise-level data engineering activities. 2) It is an integrated all-inclusive data engineering platform built upon Apache Spark, with tools such as Apache Airflow for automation, orchestration, and monitoring, making it quite an easy-to-use tool with easy implementation. 3) Customer care service is great across using the platform. 4) Cloud service which eases integration of code, if used regularly we become more and more aware of more features. Review collected by and hosted on G2.com.

1) If we try to run or trigger Airflow tasks simultaneously, it throws an unauthorized error. 2) Airflow jobs, when running, apply the privileges of the creator, not the submitter. Review collected by and hosted on G2.com.

Clouderas is unable to solve the problems of scaling and performance. The product documentation need to be more comprehensive their support was not valuable. There isnt anything that I find favorable, about the platform. Review collected by and hosted on G2.com.

It is difficult to use and meets our expectations. Some aspects leave me unsatisfied. It does not solve data management problems its simplicity is primarily limited to work related tasks. Review collected by and hosted on G2.com.

Cloudera Analytics DB is my top pick because it delivers unmatched performance and seamlessly integrates with powerful analytics features. It just nails it when it comes to handling large datasets – exactly what I need for my analytics tasks. Review collected by and hosted on G2.com.

Cloudera Analytics DB is strong on data processing, but its documentation could be more detailed, making it challenging for users to navigate complex data configurations. Improving documentation clarity would greatly enhance the overall user experience with the platform. Review collected by and hosted on G2.com.

Cloudera Analytic DB is designed to handle large volumes of data and can scale horizontally to meet the demands of growing datasets and workloads. This scalability can be a significant advantage for organizations dealing with big data. Cloudera Analytic DB is designed for high-performance analytics, allowing users to run complex queries on large datasets quickly. This can be crucial for organizations looking to gain insights from their data in real-time or near-real-time. Review collected by and hosted on G2.com.

It is somehow Complexity Big data solutions, including Cloudera Analytic DB, can be expensive to implement and maintain. Licensing costs, hardware infrastructure, and ongoing operational expenses can add up quickly. Cloudera offers both community and enterprise versions of its products. Some users have experienced limitations in the community version and feel compelled to upgrade to the enterprise version, incurring additional costs. Review collected by and hosted on G2.com.

One of the best CSPs to convert streams into data points which are useful for analytics. We use it for all the analytics events. Very easy to maintain and use. Customer Support is really good. Helped a lot during integration. Review collected by and hosted on G2.com.

Documentation can be better. Integration can be made a bit more easy. Review collected by and hosted on G2.com.

I have been part of hortonworks software earlier and then cloudera acquired the same. I have used couldera operational DB and the ease of use and efficiency makes it top notch. The results fetched are awesome with low latency. Review collected by and hosted on G2.com.

Nothing much to say about dislikes. I haven't seen much drawbacks of this product yet the overall functionality and operations are well enough. Review collected by and hosted on G2.com.

Excellent support for Machine Learning services. I can create and deploy my own models or use one of the AMPs in a robust environment. And I can easily scale up my applications using the Pyspark or Hadoop Review collected by and hosted on G2.com.

I couldn't find anything in particular to dislike, but the pricing could be better, but that's understandable after the merger with Horton Review collected by and hosted on G2.com.

Cloudera Data Platform is like a super-smart organizer for data, helping companies handle lots of information easily and securely. It works well with big data and lets businesses analyze and use their data smartly, making decisions based on facts. Review collected by and hosted on G2.com.

Some folks find Cloudera Data Platform a bit tricky to set up and costly to run, like a high-maintenance gadget. It might feel a bit complicated for beginners, and the buttons aren't as easy to figure out as some other tools. Review collected by and hosted on G2.com.