1. The Best thing about Cloudera Data Engineering is its security, it's built for a high scala -enterprise-level data engineering activities.
2. It is user-friendly, which eases the integration of code in case of frequent usage.
3. Customer Care Service is up to the mark when it comes to addressing the issue.
4. It is a platform, built on Apache Spark, with tools such as Apache Airflow for automation, orchestration & monitoring makes it an easily usable tool that too with basic implementation. Review collected by and hosted on G2.com.
1. One of the major things that I dislike about Cloudera Data Engineering is its documentation and community support. I feel the documentation is very limited.
2. While running the airflow tasks simultaneously it gives an unauthorized error. Review collected by and hosted on G2.com.
1)The thing I love about Cloudera Data Engineering is that it is secure, built for a high scala -entreprise level data engineering activities
2)It is an integrated all inclusive data engineering platform built upon Apache Spark,with tools such as Apache airflow for automation, orchestration and monitoring making it a quite easy to use tool with easy implementation.
3) Customer care service is great across using the platform.
4) Cloud service which eases integration of code, if used regularly we become more and more aware of more features Review collected by and hosted on G2.com.
1)If we try to run or trigger airflow tasks simultaneously it throws unauthorised error
2) Airflow jobs on running the privileges applied on these jobs are of the ones who created it not submitted the job Review collected by and hosted on G2.com.
Cloudera offers robust big data solutions, empowering businesses with efficient data management and analytics. Their user-friendly platform and excellent support enable organizations to harness the power of data for smarter decisions and growth. Review collected by and hosted on G2.com.
The data engineering course had some drawbacks, including the lack of hands-on practical exercises, outdated course materials, and limited interaction with instructors, which hindered the depth of understanding and real-world application of concepts. Review collected by and hosted on G2.com.
Combining CDE with business execution engine can serve as a solid foundation for complex event processing on big data. we can handle large amount of data easily as it gives us flexiblity to scaleup the resources.
it provides alrge amount of technologies for streaming the live data and we have to pay only for what we are using. Review collected by and hosted on G2.com.
It is only suitable for large amount of data. Review collected by and hosted on G2.com.
Easy to use , with the benefits of Apache airflow for orchestrations along with Apache spark for heavy lifting and data pipeline automation. Provides seamless integration with data warehouse and machine learning Review collected by and hosted on G2.com.
It can be costly for organization having large amount of data. The pricing structure for enterprises can be high. Also the platform lacks the unavailability of data science and visualization interface Review collected by and hosted on G2.com.
Fully managed cloud cluster, auto scaling, security, reliance, easy to use. These all functions are best things. Review collected by and hosted on G2.com.
Can be expensive, Not as flexible as some other solutions, Not as well-known as some other solutions Review collected by and hosted on G2.com.
- Open Source community support
- Easier installation
- Good support teams to respond to your problems Review collected by and hosted on G2.com.
Nothing as of now, everything seems to be going good for me Review collected by and hosted on G2.com.
It is easy to use and even a begineer can use cloudera data engineering platform easily. Review collected by and hosted on G2.com.
The size of the application is very large and sometimes the system hangs because of the laod it takes. Review collected by and hosted on G2.com.
Provides the best user friendly and secure cloud platform for the IT infrastructure and code development software development team. Review collected by and hosted on G2.com.
As of now there is no major dislike about this, but I would like to know if it can allow cloud replica feature for the webapp designs. Review collected by and hosted on G2.com.
Automate data pipelines to increase efficiency and it is also used for orchasteration.It can streamline and opearationalize the data pipelines securely at any scale. Review collected by and hosted on G2.com.
The cost is constantly changing and there is a problem in log visibility.cloning from got using SSH is not supported via HTTP proxy .Application does not restart after upgrade Review collected by and hosted on G2.com.