Cohesity Data Cloud and Cloudera Data Platform compete in the data management domain, addressing diverse enterprise needs. Cohesity Data Cloud is favored for customer satisfaction and pricing, while Cloudera Data Platform offers robust features considered a worthy investment.
Features: Cohesity Data Cloud provides effective data management solutions, with seamless integration for backup, recovery, and archiving, essential for cloud environments. Users find its data protection capabilities, such as DataSock, highly valuable. Cloudera Data Platform offers advanced scalability and supports extensive analytical and data processing, emphasizing security and governance, making it fit for complex tasks.
Room for Improvement: Cohesity Data Cloud could enhance its big data handling capabilities and feature extensibility. Users desire reduced node management complexity and better data reporting functionalities. Cloudera Data Platform may improve its deployment ease, optimize its learning curve, and streamline Hadoop component management to cater better to less experienced users.
Ease of Deployment and Customer Service: Cohesity Data Cloud is praised for its easy deployment and responsive customer support, ensuring smooth integration with minimal disruption. In contrast, Cloudera Data Platform, despite a more challenging setup, is backed by comprehensive customer service that aids in navigating deployment challenges, focusing on strategic use.
Pricing and ROI: Cohesity Data Cloud offers competitive pricing with efficient cost structures, highlighting a commendable ROI through reduced initial and operational expenses. Cloudera Data Platform requires a higher up-front investment; however, its advanced features offer potential for substantial ROI by delivering meaningful, long-term data insights and efficiency improvements.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
I have communicated with technical support, and they are responsive and helpful.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
Sometimes I face delays, which can be frustrating.
Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues.
For scalability, I rate Cloudera Data Platform at an eight out of ten as it is an on-premise solution.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
The pricing of the Cloud is on the higher side, and it should be cost-effective enough to compete with native solutions.
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.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
There is an additional cost for infrastructure, which I need to provide.
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 foremost benefit is offloading data from the warehouse to Cloudera Data Platform, which allows for cheaper storage.
It replicates data to the cloud in a tamper-proof manner, offering protection against ransomware attacks since it is not under administrative control.
They have a feature called DataSock, which enhances data protection.
Cloudera Data Platform offers a powerful fusion of Hadoop technology and user-centric tools, enabling seamless scalability and open-source flexibility. It supports large-scale data operations with tools like Ranger and Cloudera Data Science Workbench, offering efficient cluster management and containerization capabilities.
Designed to support extensive data needs, Cloudera Data Platform encompasses a comprehensive Hadoop stack, which includes HDFS, Hive, and Spark. Its integration with Ambari provides user-friendliness in management and configuration. Despite its strengths in scalability and security, Cloudera Data Platform requires enhancements in multi-tenant implementation, governance, and UI, while attribute-level encryption and better HDFS namenode support are also needed. Stability, especially regarding the Hue UI, financial costs, and disaster recovery are notable challenges. Additionally, integration with cloud storage and deployment methods could be more intuitive to enhance user experience, along with more effective support and community engagement.
What are the key features?Cloudera Data Platform is implemented extensively across industries like hospitality for data science activities, including managing historical data. Its adaptability extends to operational analytics for sectors like oil & gas, finance, and healthcare, often enhanced by Hortonworks Data Platform for data ingestion and analytics tasks.
Consolidate your backups, file shares, object stores and data for dev/test and analytics on a web-scale data management platform.
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