Cohesity Data Cloud and Cloudera Data Platform compete in data management and analytics. Cohesity excels in streamlined deployment and responsive support, whereas Cloudera offers an advanced feature set and analytics capability.
Features: Cohesity Data Cloud offers efficient data management focusing on backup, recovery, and data protection. The platform provides scalable solutions that manage data across multiple locations using a unified interface. Cloudera Data Platform emphasizes advanced data analytics, machine learning capabilities, and distributed data storage, ensuring seamless data processing with tools such as Spark and HDFS.
Room for Improvement: Cohesity Data Cloud could enhance its analytical features and integrations with third-party analytics tools to broaden its use-case scenarios. It may also benefit from further refinements to its cloud data services and automation features. Cloudera Data Platform could improve ease of deployment and reduce the complexity of integration with existing IT infrastructures. Enhancements in customer service responsiveness and simplified configurations would also be beneficial.
Ease of Deployment and Customer Service: Cohesity Data Cloud is known for its straightforward deployment and user-friendly management interface, backed by reliable support. This makes it accessible for businesses with varying levels of technical expertise. In contrast, Cloudera Data Platform, albeit rich in features, requires a more robust infrastructure and presents a steeper learning curve, sometimes coupled with mixed service feedback.
Pricing and ROI: Cohesity Data Cloud offers competitive pricing with strong ROI benefits, largely due to its focus on comprehensive data protection solutions. Its pricing structure allows businesses to quickly realize value through cost-efficient data management processes. Cloudera Data Platform, while requiring higher initial investment, provides long-term value through comprehensive analytics and data processing capabilities, appealing to organizations willing to invest in enhanced analytical frameworks.
There are licensing costs that have been saved when we moved some of the data platforms, decommissioned them, and moved on to this platform.
In terms of return on investment, I see great changes in operational effectiveness measured by RTO when comparing on-premises solutions with cloud solutions.
A specific example of the positive impact of Cloudera Data Platform is the clearly saved time and improved performance, which is the main result of it.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
The level of confidence that Cohesity Data Cloud delivers to the clients is worth that cost.
I would rate the customer support of Cloudera Data Platform ten out of ten.
I have communicated with technical support, and they are responsive and helpful.
Cloudera support is timely and responsive, adhering to the SLAs they provide.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
They need to work faster to meet client requirements, especially when business is affected.
They probably upstaffed and made sure their knowledge was more up-to-date.
CDP allows for easy, mostly automated scalability where I can schedule job workflows, fine-tune system resource metrics, and add nodes with just a click.
They have the cloud burst feature available where if the on-premises capacity is not sufficient at a point in time, you can run that Spark job on the cloud itself.
The ability to scale processing capacity on demand for batch jobs without impacting other workloads, and support for a growing number of concurrent users and teams accessing the platform simultaneously are significant advantages.
Scaling depends on subscription levels - when customers exceed their subscribed storage capacity, they can pay Cohesity to scale the resources.
There are no issues with scalability on the cloud end.
It's easy to add additional nodes to a current existing cluster, making it quite easy to expand.
Sometimes the end user is not experienced or does not have all the expertise related to Cloudera specifically, making it very difficult to manage properly
Sometimes a node goes down, but it automatically returns to a healthy state.
Cloudera Data Platform is pretty stable in my experience; there are not any downtime or reliability issues.
Compared to other tools, it is very efficient and simple to learn.
I couldn't find anything negative about Cohesity Data Cloud specifically.
Cohesity Data Cloud is quite reliable.
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
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.
Issues such as ransomware protection and fixing vulnerabilities should be prioritized.
Cohesity Data Cloud scans backups by default for ransomware and malware, sending notifications if there are any security concerns or compromised systems.
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
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.
We find Cloudera Data Platform to be cost-effective.
So far, I would say that it is competitive pricing that we have received.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
Comparatively, compared to IBM and Commvault, Cohesity Data Cloud offers the best deal for my environment.
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it.
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 Ranger integration makes it more flexible and reliable for me by allowing control over data access, specifying who can access at what level, such as table level, masking, or data layer level.
What stands out the most in Cloudera Manager are SDX, which provide centralized control for governance, security, and data lineage across multiple sources.
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.
The initial deployment of Cohesity Data Cloud, from my experience, is easy.
| Product | Market Share (%) |
|---|---|
| Cloudera Data Platform | 7.6% |
| Cohesity Data Cloud | 4.1% |
| Other | 88.3% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
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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