Cask vs IBM InfoSphere BigInsights [EOL] comparison

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Executive Summary

We performed a comparison between Cask and IBM InfoSphere BigInsights [EOL] based on real PeerSpot user reviews.

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Featured Review
Ranking
14th
out of 22 in Hadoop
Views
83
Comparisons
74
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In Hadoop
Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
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Comparisons
Also Known As
InfoSphere BigInsights
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Overview

Cask Data Application Platform (CDAP) is the first Unified Platform for Big Data. It provides standardization and deep integrations with diverse Hadoop technologies allowing companies to focus on application logic and insights, rather than infrastructure and integration. The platform is 100% open-source, highly extensible, and delivers enterprise-class features to help accelerate time to build, deploy, and manage data-centric applications & data lakes on Hadoop and Spark.

There are 3 extensions packaged with CDAP: Cask Hydrator, Cask Wrangler and Cask Tracker. CDAP Extensions are self-service, purpose-built applications on CDAP designed to solve common and critical big data challenges. Cask Hydrator for data pipelines, Cask Wrangler for data wrangling and Cask Tracker for data discovery and metadata.

CDAP removes barriers to innovation as an extensible and future-proof platform that provides consistency across environments and easily integrates with existing MDM, BI, and security solutions.

IBM BigInsights delivers a rich set of advanced analytics capabilities that allows enterprises to analyze massive volumes of structured and unstructured data in its native format. The software combines open source Apache Hadoop with IBM innovations including sophisticated text analytics, IBM BigSheets for data exploration, IBM Big SQL for SQL access to data in Hadoop, and a range of performance, security and administrative features. The result is a cost-effective and user-friendly solution for complex, big data analytics.
Sample Customers
AT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, Kogentix
Coherent Path Inc., Optibus, Delhaize America, Diyotta Inc., Ernst & Young, Teikoku Databank Ltd., NCSU, Vestas
Company Size
No Data Available
REVIEWERS
Small Business43%
Large Enterprise57%
Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
768,246 professionals have used our research since 2012.

Cask is ranked 14th in Hadoop while IBM InfoSphere BigInsights [EOL] doesn't meet the minimum requirements to be ranked in Hadoop. Cask is rated 0.0, while IBM InfoSphere BigInsights [EOL] is rated 7.6. On the other hand, the top reviewer of IBM InfoSphere BigInsights [EOL] writes "The BIQSQL implementation is fully SQL ANSI compliant, but I have found a lot of issues in Fluid Query". Cask is most compared with , whereas IBM InfoSphere BigInsights [EOL] is most compared with .

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