Cloudera Distribution for Hadoop Competitors and Alternatives

Read reviews of Cloudera Distribution for Hadoop competitors and alternatives
Mapr logo
MapR
Anonymous avatar x80
Real User
Founder at Chicago area Hadoop User Group (CHUG)
Mar 02 2018

What is most valuable?

MapR’s strength comes from their file system. Because they start with the raw disk, they are able to expose the storage through various APIs and have the ability to lockdown and secure the file system better than the Apache derivatives, which... more»

How has it helped my organization?

To be clear, all of the main three vendors are capable of supporting multiple big data use cases. Where they differ is going to be in terms of scalability, supported tools, and the stability of the tools. MapR has MapR-DB, which supports most... more»

What needs improvement?

All products have room for improvement. Because of MapR-FS, they have an incredible advantage in terms of stability, cross cluster replication, and extensibility to create products like MapR-DB (Binary and JSON tables) and MapR Streams. One... more»
Hortonworks
Hortonworks
Ba263da8 3789 4ce0 8a1c cfec3b15c7dc avatar?1448570064
Real User
Solution Architect at MIMOS Berhad
Feb 26 2017

What is most valuable?

* It's the one and only complete open source big data platform * Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc. * Customized dashboards * Web-based HDFS browser * SQL editor for Hive * Apache Phoenix - OLTP and... more»

How has it helped my organization?

* Maintenance of our own data lake in the enterprise-level * Storage and analysis of server logs * Applying Operational Intelligence in the enterprise-level based on the analysis of various department units data * Semantic analysis based on... more»

What needs improvement?

* Rolling upgrade * Disaster recovery features such as mirroring should be supported
Anonymous avatar x80
Real User
Senior Solutions Specialist at a tech services company with 501-1,000 employees
Jul 17 2016

What is most valuable?

The things that I have found of value are those that make database management easier to deal with. I have been using Netezza and Oracle DBA for several years so the big data is a bit of a mind shift for me. The thing that I have found most... more»

How has it helped my organization?

The customer that I am working with has had a portion of the database that they will be shifting from Netezza to BigInsights. This will remove all of the queries and overhead on Netezza around those tables. This will be a big improvement and... more»

What needs improvement?

I have found a lot of issues in Fluid Query and BigInsights Applications to move data in the enterprise version. I have several tickets on these with IBM as they need to be addressed to have a solid implementation. Fortunately none of these... more»
Erman sezer avatar 1434565451?1434565448
Consultant
Senior Information Management Consultant at a retailer with 51-200 employees
Sep 25 2016

What do you think of Netezza Analytics?

Valuable Features There is minimal on-going maintenance. • Improvements to My Organization There were some reports we couldn't get because of performance, but with Netezza we could get more of them. • Room for Improvement It needs a better in-house development tool. • Use of Solution I've used it for three years. • Deployment Issues Functions are difficult to deploy. • Stability Issues No issues encountered. • Scalability Issues No issues encountered. • Customer Service and Technical Support Customer Service: 7/10. Technical Support: 7/10. • Previous Solutions Our customers mostly switch from traditional RDMs to appliances. • Initial Setup It is very easy to setup. • Implementation Team We used an in-house vendor who were 8/10. ...
Anonymous avatar x80
Consultant
Big Data Consultant at a tech services company with 501-1,000 employees
Aug 25 2017

What do you think of Apache Spark?

Valuable Features The good performance. The nice graphical management console. The long list of ML algorithms. • Improvements to My Organization We are able to solve problems, e.g., reporting on big data, that we were not able to tackle in the past. • Room for Improvement Apache Spark provides very good performance The tuning phase is still tricky. • Use of Solution I've used it for 2 years. • Deployment Issues We didn't have an issue with the deployment. • Stability Issues In the past we deployed Spark 1.3 to use Spark SQL but unfortunately one of our queries failed because of a bug fixed in following releases. Then we moved to Spark 1.6 but still some queries were failing when run against huge datasets. Now we are using version 2.1: it is more stable, it...

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