Top Rated Cloudera Data Science Alternatives
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
10 out of 11 Total Reviews for Cloudera Data Science
Overall Review Sentiment for Cloudera Data Science
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Scalable infrastructure for data science workloads as it's built on Hadoop ecosystem Review collected by and hosted on G2.com.
Not suitable for low level of technical expertise. Drag and drop options and visual modelling tools are lacking Review collected by and hosted on G2.com.
Ease of doing business, multi cluster, easy distribution to change Review collected by and hosted on G2.com.
System has lot many nodes so it needs more ram to run Review collected by and hosted on G2.com.
Projects can be created under context which helps manage the work 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.
The only platform to analyze and process big data. It is useful for me for creating, channeling, and visualizing all types of structured and unstructured data. It is customizable and easy to use for anyone having little experience with cloud services. Review collected by and hosted on G2.com.
Having its competitors like Kaggle and google collab pro, they all offer some attractive packages compared to Cloudera. Still, Cloudera has its benefits that others don't have like managing big data clusters directly from the browser etc.
Another disadvantage is Installation is a little difficult. Review collected by and hosted on G2.com.
This is a nice GUI-based analytics platform and a well-orchestrated collection of tools and languages like Python, R, scala. Review collected by and hosted on G2.com.
Little bit of high Costing and some platform administration required Review collected by and hosted on G2.com.
Clousera (Big data)is the one of the best solution for large online streaming data processing.
Feasible and flexible data processing is the feature of cloudera zeta bytes of data can be process in fraction of seconds one of the great feature is Hbase (Columnar database),Scala -Preferable programming language now a days,
one of the good feature is reporting tool R(programming report tool).
Cloudera shows the future of IT. Review collected by and hosted on G2.com.
Cloudera is vast to adopt each feature needs to be run in very high configured systems. Review collected by and hosted on G2.com.
We are doing a POC with Cloudera. From a technical implementation, upgrade, and administration of the platform is much easier than other technologies I have had to support. After our initial installation we have upgraded 3 times and the documentation provide almost brings you step by step and have not had any post upgrade issues. Review collected by and hosted on G2.com.
So far during our POC I do not have any glaring dislikes from a technical administration perspective. Maybe additional free online training and resources would be helpful. Review collected by and hosted on G2.com.
Easy to use. Supports multiple languages and frameworks like R, python, scala, Apache Spark etc. It's quite easy to download libraries and supporting packages. One of the most important feature that I like is the availability of data from any storage - cloud, data warehouse Review collected by and hosted on G2.com.
I am not particularly fond of the User Interface, but that's the only bad point that I could find. Review collected by and hosted on G2.com.
Running collaborative notebooks on you Cloudera Hadoop cluster is a big boon to a data science team. Pairs well with a previous investment in Hadoop specifically from Cloudera. Review collected by and hosted on G2.com.
I wish this would install to the cluster and run in a container on the cluster instead of requiring an external application server(s). Spark support was not as good as some of the other notebook solutions out there. Review collected by and hosted on G2.com.
