Cohesity Data Cloud and Cloudera Data Platform are competitors in data management and analytics. Cohesity Data Cloud has an edge in pricing and support, while Cloudera Data Platform excels in features.
Features: Cohesity Data Cloud focuses on data protection with strong backup and recovery capabilities, a unified management system, and automation for disaster recovery. Cloudera Data Platform provides comprehensive analytics features, offering robust data processing, machine learning, and a user-friendly Ambari interface.
Room for Improvement: Cohesity Data Cloud could enhance its data analytics capabilities, expand its integration options, and improve its scalability solutions. Cloudera Data Platform should work on simplifying its complex deployment, enhancing data protection features, and reducing initial cost barriers.
Ease of Deployment and Customer Service: Cohesity Data Cloud offers straightforward deployment and responsive support, ensuring seamless integration. Cloudera Data Platform has a complex deployment process due to its extensive features but is backed by robust customer service.
Pricing and ROI: Cohesity Data Cloud provides competitive pricing with efficient data management tools, offering good ROI. Cloudera Data Platform requires a higher initial investment due to its extensive analytics capabilities, promising significant long-term returns.
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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