Cloudera on AWS
ClouderaExternal reviews
141 reviews
from
and
External reviews are not included in the AWS star rating for the product.
My experience with cloudera is good
What do you like best about the product?
EASY to use and friendly. Most of the time it works without any issues.
What do you dislike about the product?
Have to improve on providing documentation for various errors
What problems is the product solving and how is that benefiting you?
I have used Cloudera while in a company to solve mobile network related issues using big data analytics
Excelent
What do you like best about the product?
It serve my business, help me in reaching more customers and help my customers to find my software .
What do you dislike about the product?
Technical support , mobile app , company location .
What problems is the product solving and how is that benefiting you?
marketing, provide good references , ease to use, ai
The most comprehensive big data stack
What do you like best about the product?
Fullly implement hadoop ecosystem and control version compability as well. It also has quickly supported on technical and setting up issues. The community is really large and good.
What do you dislike about the product?
The documentation layout is quite unclear. The community version setting up guides are not working. I think cloudera should provide the simple version in docker or helm chart for trial easier.
What problems is the product solving and how is that benefiting you?
Cloudera platform provides the powerful processing tools that help our company save very much time to setup hadoop ecosystem. It also allows us to monitor and control the big data infrastucture easier and more efficient.
Cloudera Review
What do you like best about the product?
Cloudera is highly regarded for its robust and scalable big data solutions, emphasis on security, user-friendly interfaces, and strong support network.
What do you dislike about the product?
While Cloudera is a prominent player in the big data market, there are other viable alternatives available. Organizations should consider exploring different platforms to determine which one best aligns with their specific requirements, budget, and existing technology ecosystem.
What problems is the product solving and how is that benefiting you?
Extracting insights and value from big data is a complex task. Cloudera provides a range of analytics capabilities, including machine learning, data visualization, and predictive modeling. These tools enable organizations to derive actionable insights, make data-driven decisions, and uncover hidden patterns and trends within their data.
Cloudera Distribution for Hadoop,the open source Hadoop project.
What do you like best about the product?
Enterprise-grade features: Cloudera Distribution for Hadoop includes a number of features that make it easier to use Hadoop for enterprise applications, such as security, scalability, and manageability.
Commercial support: Cloudera offers commercial support for Cloudera Distribution for Hadoop, which can be helpful for businesses that need help with installation, configuration, and troubleshooting.
Community: Cloudera has a large and active community of users and developers, which can be helpful for businesses that need help with using or extending Cloudera Distribution for Hadoop.
Commercial support: Cloudera offers commercial support for Cloudera Distribution for Hadoop, which can be helpful for businesses that need help with installation, configuration, and troubleshooting.
Community: Cloudera has a large and active community of users and developers, which can be helpful for businesses that need help with using or extending Cloudera Distribution for Hadoop.
What do you dislike about the product?
Cost: Cloudera Distribution for Hadoop is a commercial product, so it can be more expensive than using an open source distribution of Hadoop.
Lock-in: Cloudera Distribution for Hadoop is a proprietary product, so businesses that use it may be locked into using Cloudera for support and maintenance.
Complexity: Cloudera Distribution for Hadoop is a complex product, so businesses that use it may need to have a team of experienced engineers to manage it.
Lock-in: Cloudera Distribution for Hadoop is a proprietary product, so businesses that use it may be locked into using Cloudera for support and maintenance.
Complexity: Cloudera Distribution for Hadoop is a complex product, so businesses that use it may need to have a team of experienced engineers to manage it.
What problems is the product solving and how is that benefiting you?
Cloudera Distribution for Hadoop is a good choice for businesses that need an enterprise-grade Hadoop distribution with commercial support and a large community of users and developers.
Good for seasoned data scientists
What do you like best about the product?
Scalable infrastructure for data science workloads as it's built on Hadoop ecosystem
What do you dislike about the product?
Not suitable for low level of technical expertise. Drag and drop options and visual modelling tools are lacking
What problems is the product solving and how is that benefiting you?
As all our data is stored in HDFS, cloudera data lake, the seamless integration of data between CDS and data lake was very useful in building the models and training on large datasets
Cloudera data science
What do you like best about the product?
Ease of doing business, multi cluster, easy distribution to change
What do you dislike about the product?
System has lot many nodes so it needs more ram to run
What problems is the product solving and how is that benefiting you?
Fast running queries and get the data available
Amazing tool
What do you like best about the product?
It provides a user friendly interface to look for the data in a efficienct manner and makes it easy for users to get down to business quickly.
What do you dislike about the product?
Minor learning curve for beginners compared to the competition
What problems is the product solving and how is that benefiting you?
It helps in drilling down to the business use case
Very easy to deploy on on-premise
What do you like best about the product?
Model management is easy, and collaboration with others in a notebook environment is fantastic. Another amazing thing is support from the Cloudera team on documentation and learning resources. Great partnership.
What do you dislike about the product?
It's very complex to customize and take advantage of all features. I believe this can be worked on and made more user-friendly. Sometimes it becomes very hard to debug the error. Not beginner friendly.
What problems is the product solving and how is that benefiting you?
The main use of their workbench is to experiment with models before deployment. The other thing is that I don't need to download any libraries separately, and each user has a separate environment. Reproducibility is also very easy when you work with multiple members.
WSO2 API Manager integration with Cloudera
What do you like best about the product?
Advantages of Cloudera: Ease of use, Security, Number of components, Scalability and Active community of users.
The main advantages of using Cloudera are scalability and centralized administration, which greatly facilitates the work of monitoring and necessary corrections.
The main advantages of using Cloudera are scalability and centralized administration, which greatly facilitates the work of monitoring and necessary corrections.
What do you dislike about the product?
The difficulty of having a free option after the acquisition of Hadoop this process became more complex and bureaucratic.
As the main thing, I still consider the cost, although I believe it is fair, but it ends up being unfeasible for smaller projects.
As the main thing, I still consider the cost, although I believe it is fair, but it ends up being unfeasible for smaller projects.
What problems is the product solving and how is that benefiting you?
The data processing of a large government organization, with millions of records per day.
The data is sent via WSO2 to Kafka, and then with NIFI, the processing is done to save the raw and summarized data in HIVE and force an index in solr to be consumed later by the WSO2 API Manager.
The data is sent via WSO2 to Kafka, and then with NIFI, the processing is done to save the raw and summarized data in HIVE and force an index in solr to be consumed later by the WSO2 API Manager.
showing 81 - 90