Realtime data processing is one of the feature which I like the most about Cloudera Operational DB. Also, it provides realtime data ingestion, analysis and handles huge amount of data in realtime very effectively. Review collected by and hosted on G2.com.

Cloudera operational DB is bit complex for sql queries and also cost is also a concern because of huge data processing. Other than that, One should be good in implementing the DB because its bit complicated for unexperienced professional. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Cloudera Analytic DB is a hybrid cloud database platform that offers business intelligence (BI) and SQL analytics capabilities. It allows users to derive more value from their data by providing flexibility in data storage and analysis With Cloudera Analytic DB, users can perform real-time analytics on Hadoop, enabling them to gain insights and make data-driven decisions more efficiently. Review collected by and hosted on G2.com.

While Cloudera Analytic DB offers many benefits, there may be potential challenges or limitations that some users have encountered. These could include:

Complexity

Scalability

Cost 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.

It is easy to use and not much background knowledge of cloud infrastructure is required. Also it is fast and has a great UI. It is reliable. Review collected by and hosted on G2.com.

Everything is good and is quite easy to use. Review collected by and hosted on G2.com.

It good scalability, data management with good performance mostly i like it's support as well as documentation and Review collected by and hosted on G2.com.

No, I like cloudera operational DB. I spend good time DB also enchance my skill Review collected by and hosted on G2.com.

The way it bundled useful big data technologies in one product and easy to install and use. Review collected by and hosted on G2.com.

CDP is too costly compared to open source software present. 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.

I am software developer and i need a DB to store data , the data in cloudera analytics follows HDFS architecture and due to this we can store a large amount of data easily in the database. Data recovery is quite easy as it proides good data replication. The user interface is quite good and easy to access modules . Analytics shown in cloudera is also good and graphs and pie diagrams can easily be understandable , they provide good insights. Review collected by and hosted on G2.com.

At time I dont find any reason to dislike but In beginning its little bit challenging for new users to get hands on with cloudera . A tutorial or demo must be provided for better understanding Review collected by and hosted on G2.com.

Tool like Impala makes difference while processing data which is much faster. Review collected by and hosted on G2.com.

Need better skilled and supportive support personal. Review collected by and hosted on G2.com.