Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful planning compared to pure SaaS solutions. Governance capabilities are very powerful and must be properly tuned to avoid over-engineering early in the phases.
Data engineer at a tech vendor with 10,001+ employees
Real User
Top 20
Nov 12, 2025
Cloudera Data Platform can be improved in several areas. I recently attended their roadmap session. Whatever limitations they have identified involve moving data from on-premises to cloud as a single-pane view and better lineage. They have done some recent acquisitions as well to overcome their product limitations. They are on the right track by doing this analysis themselves, identifying what the weaknesses are, and then using mergers or acquisitions to overcome them. I would like to add that, beyond the platform itself, they should provide more training to systems integrators so that they can have a more ready workforce to use Cloudera Data Platform.
ML Engineer - Director at a financial services firm with 10,001+ employees
Real User
Top 20
Sep 30, 2025
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. If those can be resolved, it could be widely adopted, similar to Databricks. Cloudera Data Platform is stable functionality-wise, but it needs some bug fixes for security, which we are expecting Cloudera to provide. The scalability of Cloudera Data Platform could be enhanced.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure ( /products/microsoft-azure-reviews ) and Databricks ( /products/databricks-reviews ).
Senior Architect at a comms service provider with 1,001-5,000 employees
Real User
Top 5
Apr 14, 2025
There are challenges with upgrading or updating various services like Spark, Impala, and Hive on on-premise and bare metal solutions. We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services. We also wish to implement lakehouse capabilities with Iceberg or Delta Lake frameworks.
Sr Manager at a transportation company with 10,001+ employees
Real User
Dec 6, 2023
Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS. These platforms offer competitive storage solutions like Gen2, Gen1, Bigtable, BigQuery, Lightstore, S3 buckets, etc., which pose a significant competition to HDP.
Head of technical and projects at BI Dynamics Pty Ltd
Real User
Aug 31, 2023
Hortonworks Data Platform has a limited user community. I haven't seen much discussion about user experiences. More information could be there to simplify the process of running the product.
We'd like the solution to be easier. There used to be a free version on offer. Now, everything is paid. It's not quite as easy to install as EMR. It's at end of life and no longer will there be improvements.
Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees
Real User
Oct 6, 2020
We are happy with the platform but we are also looking at what else is out there. We are comparing what other teams are using in our company to the solution we have adopted. The main difference, and what seems better with other tools, is the deployment. That part is not entirely clear to us. We can create models, but once we create the models we are not sure as to how to deploy them. The version control of the software is also an issue. Maybe these improvements are already included in the newest release but we are not aware of it because nobody on our team has had the opportunity to try it. I do not know how well this product is supported.
Senior IT Officer- Head of Administration, System Administration Division for Unix and Linux Servers at a financial services firm with 10,001+ employees
Real User
Jul 28, 2019
We have had problems with the backup and with services that require a disaster site. We are still struggling with some of these issues. We are having trouble with Active Directory and Hive integration. I would like to see more support for containers such as Docker and OpenShift.
I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors. Each customer has different requirements. From the IT side, someone who has some experience of the cluster, computer clustering, computer networking, different fire defense, for example, it is so important that they have some additional graphics, some additional service reports added to the Hortonworks current user interface, which could provide easy images. Especially if they are using it without any experience first.
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...
Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful planning compared to pure SaaS solutions. Governance capabilities are very powerful and must be properly tuned to avoid over-engineering early in the phases.
Cloudera Data Platform can be improved in several areas. I recently attended their roadmap session. Whatever limitations they have identified involve moving data from on-premises to cloud as a single-pane view and better lineage. They have done some recent acquisitions as well to overcome their product limitations. They are on the right track by doing this analysis themselves, identifying what the weaknesses are, and then using mergers or acquisitions to overcome them. I would like to add that, beyond the platform itself, they should provide more training to systems integrators so that they can have a more ready workforce to use Cloudera Data Platform.
I don't have any challenges or areas I think could use enhancement.
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. If those can be resolved, it could be widely adopted, similar to Databricks. Cloudera Data Platform is stable functionality-wise, but it needs some bug fixes for security, which we are expecting Cloudera to provide. The scalability of Cloudera Data Platform could be enhanced.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure ( /products/microsoft-azure-reviews ) and Databricks ( /products/databricks-reviews ).
There are challenges with upgrading or updating various services like Spark, Impala, and Hive on on-premise and bare metal solutions. We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services. We also wish to implement lakehouse capabilities with Iceberg or Delta Lake frameworks.
Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS. These platforms offer competitive storage solutions like Gen2, Gen1, Bigtable, BigQuery, Lightstore, S3 buckets, etc., which pose a significant competition to HDP.
Hortonworks Data Platform has a limited user community. I haven't seen much discussion about user experiences. More information could be there to simplify the process of running the product.
The cost of the solution is high and there is room for improvement.
We'd like the solution to be easier. There used to be a free version on offer. Now, everything is paid. It's not quite as easy to install as EMR. It's at end of life and no longer will there be improvements.
The NiFi platform could be enhanced. This refers to the data ingestion in a workflow. It would also be nice if there was less coding involved.
We are happy with the platform but we are also looking at what else is out there. We are comparing what other teams are using in our company to the solution we have adopted. The main difference, and what seems better with other tools, is the deployment. That part is not entirely clear to us. We can create models, but once we create the models we are not sure as to how to deploy them. The version control of the software is also an issue. Maybe these improvements are already included in the newest release but we are not aware of it because nobody on our team has had the opportunity to try it. I do not know how well this product is supported.
We have had problems with the backup and with services that require a disaster site. We are still struggling with some of these issues. We are having trouble with Active Directory and Hive integration. I would like to see more support for containers such as Docker and OpenShift.
I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors. Each customer has different requirements. From the IT side, someone who has some experience of the cluster, computer clustering, computer networking, different fire defense, for example, it is so important that they have some additional graphics, some additional service reports added to the Hortonworks current user interface, which could provide easy images. Especially if they are using it without any experience first.
* Security * Performance * Workload management