What users are saying about
17 Ratings
13 Ratings
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Score 7.9 out of 100
17 Ratings
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Score 8.9 out of 100

Likelihood to Recommend

Data Science Workbench

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
Anonymous | TrustRadius Reviewer

MapR

MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals use.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
MapR
Connect to Multiple Data Sources
Data Science Workbench
6.6
MapR
Extend Existing Data Sources
Data Science Workbench
7.6
MapR
Automatic Data Format Detection
Data Science Workbench
7.0
MapR
MDM Integration
Data Science Workbench
8.0
MapR

Data Exploration

Data Science Workbench
8.2
MapR
Visualization
Data Science Workbench
7.9
MapR
Interactive Data Analysis
Data Science Workbench
8.4
MapR

Data Preparation

Data Science Workbench
7.8
MapR
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
MapR
Data Transformations
Data Science Workbench
8.0
MapR
Data Encryption
Data Science Workbench
8.0
MapR
Built-in Processors
Data Science Workbench
7.6
MapR

Platform Data Modeling

Data Science Workbench
8.2
MapR
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
MapR
Automated Machine Learning
Data Science Workbench
7.0
MapR
Single platform for multiple model development
Data Science Workbench
8.3
MapR
Self-Service Model Delivery
Data Science Workbench
8.9
MapR

Model Deployment

Data Science Workbench
7.6
MapR
Flexible Model Publishing Options
Data Science Workbench
8.9
MapR
Security, Governance, and Cost Controls
Data Science Workbench
6.3
MapR

Pros

Data Science Workbench

  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

MapR

  • MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
  • The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
  • The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.
Anonymous | TrustRadius Reviewer

Cons

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

MapR

  • It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
  • When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
  • Sometime new ecosystem tools versions are released without proper QA.
Anonymous | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 6.7
Based on 2 answers
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
Anonymous | TrustRadius Reviewer

MapR

No score
No answers yet
No answers on this topic

Alternatives Considered

Data Science Workbench

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

MapR

I don't believe there is as much support for MapR yet compared to other more widely known products.
Chavez Kattick | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

MapR

  • Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
  • MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
Anonymous | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

MapR

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Data Science Workbench
7.7
MapR
7.2

Support Rating

Data Science Workbench
6.7
MapR

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