Cloudera Distribution for Hadoop Competitors and Alternatives

Read reviews of Cloudera Distribution for Hadoop competitors and alternatives
Real User
Big Data - Senior Solutions Architect at a tech vendor with 10,001+ employees
Mar 29 2017

What is most valuable?

We evaluated Cloudera and Hortonworks. Based on our evaluation and actual experience in production of 60 nodes and development of 12 nodes, the most valuable features of Hortonworks are: * 100% open * No lock-in like Cloudera * Fast and... more»

How has it helped my organization?

It helps a lot in data in motion (ingestion and manage in real time). We are able to do 3rd-party data monetization of our data within a t+20 minute time frame to our end customers.

What needs improvement?

* Cost * Reliability * Speed * Ease of use
Real User
Senior Enterprise Architect at a retailer with 10,001+ employees
Sep 28 2017

What is most valuable?

* Its ability to process and query large amounts of structured data. * Low administrative support in terms of query optimization and indexing support. Indexing and data partitioning is built into the firmware. * Data compression. It was... more»

How has it helped my organization?

I can't because we're using it in a fashion such that a traditional RDMS could have been used in place of it. Our data was relatively small so we didn't see a huge benefit in transitioning new subject areas into production.

What needs improvement?

Community support. There was none, or very little, especially when using add-on software (e.g. building functions, MapReduce, R, Lua, etc.). Driver support for windows based applications. Disaster recovery support. Because it was an... more»
Consultant
Big Data and Cloud Solution Consultant at a financial services firm with 10,001+ employees
Oct 02 2017

What do you think of Apache Spark?

Valuable Features DataFrame: Spark SQL gives the leverage to create applications more easily and with less coding effort. • Improvements to My Organization We developed a tool for data ingestion from HDFS->Raw->L1 layer with data quality checks, putting data to elastic search, performing CDC. • Room for Improvement Dynamic DataFrame options are not yet available. • Use of Solution One and a half years. • Stability Issues No. • Scalability Issues No. • Other Advice Spark gives the flexibility for developing custom applications.

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