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Quaero's data management platform, powered by Cloudera Enterprise, offers a comprehensive solution for businesses in the media industry. …
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What is Cloudera Enterprise Data Hub?
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.
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What is Cloudera Enterprise Data Hub?
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.
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What is Cloudera Enterprise Data Hub?
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Quaero's data management platform, powered by Cloudera Enterprise, offers a comprehensive solution for businesses in the media industry. Its versatility, robust features, and adaptability make it a valuable asset for optimizing data and uncovering hidden insights. Cloudera Enterprise has proven instrumental in various use cases, including research on customer behavior, churn reduction, and cybersecurity measures. By detecting anomalies and reducing cyber dangers, Cloudera helps businesses safeguard their operations. The platform also facilitates critical processes like data collection, campaign management, audience segmentation, predictive analytics, and data cleansing.
Cloudera Enterprise's scalability is particularly noteworthy, enabling businesses to handle large datasets effectively. With its high-volume processing capabilities, efficient data storage, and powerful visualization tools, teams can automate complex data pipelines and build data-driven applications while maintaining governance, security, and control throughout the entire data lifecycle. Customers appreciate the comprehensive set of tools provided by Cloudera Manager for simplified administrative tasks such as file editing across systems, user access privilege management, and package management, enhancing productivity within organizations.
Real-world use cases of Cloudera Enterprise span across different industries, including successful deployments in the Search Engine analytic department at AT&T Interactive and the creation of Big Data services on unified server platforms. Cloudera Enterprise offers flexibility in running Mapreduce/Tez/Spark jobs against large datasets stored in HDFS through a pay-as-you-go model. It serves as a central hub for generating value from big data by acting as a data lake, fueling data science projects such as churn prediction and recommendation engines. In lab testing environments, Cloudera Enterprise has significantly reduced configuration and management time, streamlining processes. With its intuitive graphical interface, Cloudera Enterprise simplifies administrative tasks and enhances the overall user experience.
Excellent Management Capabilities: Many users have praised Cloudera Manager for its excellent management capabilities, making it easy to effectively manage a Hadoop cluster. They appreciate the user-friendly interface and robust features that allow them to efficiently monitor and control their cluster's performance, resource allocation, and configuration.
Comprehensive Solution: Several reviewers appreciate that Cloudera provides all the necessary components to build a data hub, making it a comprehensive solution for their needs. With Cloudera, they can seamlessly integrate different tools and technologies required for data processing, storage, and analysis. This eliminates the need for piecemeal solutions and simplifies the overall setup and maintenance of their infrastructure.
Data Discovery and Automation: Users have mentioned that Cloudera helps them discover data across workloads and enables them to automate workflows. Some users specifically mention customer experience and marketing automation as areas where Cloudera excels in automating processes. They highlight how these capabilities enhance efficiency by reducing manual efforts in data exploration and streamlining repetitive tasks. This empowers businesses to harness the full potential of their data while saving time and resources.
Challenging customization: Some users have found it challenging to customize certain features of Cloudera due to inadequate documentation and a lack of informative resources for newcomers. They have expressed frustration in trying to understand how to modify these features without clear instructions or guidance.
Expensive membership fees: Several reviewers have mentioned that they find Cloudera's membership fees to be expensive, suggesting that they could be more profitable compared to other competing technologies. This has led some users to question the value they are receiving for the price they pay.
Lack of knowledgeable resources: Users in the APJC region have expressed difficulty in finding resources knowledgeable in Cloudera solutions for Lab and PoC activities, highlighting a need for improved support in this area. They feel that there is a shortage of experts who can provide assistance and guidance when dealing with complex issues or specific use cases.
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Reviews
(1-12 of 12)Companies can't remove reviews or game the system. Here's why
April 02, 2022
My Insight for Cloudera Enterprise Data Hub
- It makes it easy to manage the entire data lifecycle by infusing AI.
- Data analysis enables us to make informed decisions.
- In-memory high speed data processing which requires zero manual procedures.
- Cloudera simplify data management by automating the entire procedure.
- Cloudera improves data management by leveraging the organization's data processing and analysis capabilities.
- Cloudera is competitive by bringing the simplicity of data management to the most important areas of the business.
- Cloudera manages the lifecycle of enterprise data, from the edge to AI, in any cloud or data center.
- Cloudera offers options to optimize and understand complicated scenarios, make profitable judgments, generate results, and assess business performance.
- Cloudera is useful for performing complex analysis on large amounts of data.
- Cloudera is an excellent option for turning data into a strategic asset.
- Cloudera provides control tools to manage high-speed data processing and compromise.
March 11, 2022
In order to improve analysis and data management.
- Cloudera provides visibility throughout the data lifecycle.
- Due to its open architecture, it allows modification.
- It can be used to make data-driven business decisions that increase efficiency, minimize risk, and provide new insights.
- Reduce costly data silos by performing many data analysis operations on the same data at the same time, directly at the source.
December 18, 2017
Cloudera Enterprise Review
- Reduces costs to store data.
- Enable data science use cases that generates revenue.
July 19, 2017
A brief Cloudera Review
- Improvements request would take a while.
- Fast bug fixes and stability in releases are great.
- Migration to other platforms would not be that easy if you start using proprietary tools.
February 04, 2015
Best distro of Hadoop in the market
Score 10 out of 10
Vetted Review
Verified User
- The tools in Cloudera Enterprise have enabled us to perform seamless upgrades and monitor the clusters
- Investing in the support enables us to engage with Cloudera to get access to required patches and backports in case of bugs which helps with wider adoption of open source software in the enterprise.
- Voice of the customer enabled us to put forth requests for new features across various components.
May 24, 2014
Best tool to manage Hadoop environment.
Score 8 out of 10
Vetted Review
Verified User
- Definitely faster setup/management time. Could not comment on ROI, as tested in lab setup.
May 22, 2014
Cloudera Review
Score 5 out of 10
Vetted Review
Verified User
- It provides a very useful GUI which helps developers to work efficiently on Bigdata platform.
Score 7 out of 10
Vetted Review
Verified User
- Cloudera products are the most widely. It is more business friendly as data is more secure. The sensitive data that you operate on is local to you and your project rather than processing this data on Cloud.
- Cloudera is definitely faster as wait time is reduced if on Cloud.
- A lot range of products are covered. So it is definitely good for businesses and had good returns on investments.
May 13, 2014
Cloudera Enterprise
Score 10 out of 10
Vetted Review
Verified User
- Faster deployment of the environment
May 01, 2014
Cloudera on a BigData Lab Environment
Score 8 out of 10
Vetted Review
Verified User
- The optimization of the cluster deployment and managements returns FTE cost immediately after the initial setup. It helps Lab teams to rapidly implement nodes and clusters for PoCs and Lab activities.
May 01, 2014
Easy Peasy Cloudera for Developers
Score 10 out of 10
Vetted Review
Verified User
- Increased efficiency
- Faster computations
- Easier data management