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Cask vs Informatica Big Data Parser comparison

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Cask Logo
176 views|123 comparisons
Informatica Logo
387 views|341 comparisons
Executive Summary

We performed a comparison between Cask and Informatica Big Data Parser based on real PeerSpot user reviews.

Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cask vs. Informatica Big Data Parser report (Updated: September 2022).
634,325 professionals have used our research since 2012.
Ranking
11th
out of 22 in Hadoop
Views
176
Comparisons
123
Reviews
0
Average Words per Review
0
Rating
N/A
8th
out of 22 in Hadoop
Views
387
Comparisons
341
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Hadoop
September 2022
Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: September 2022.
634,325 professionals have used our research since 2012.
Comparisons
Also Known As
Big Data Parser
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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.

Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.

Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools

Offer
Learn more about Cask
Learn more about Informatica Big Data Parser
Sample Customers
AT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, Kogentix
Western Union, UPMC, BNY Mellon
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company19%
Financial Services Firm13%
Comms Service Provider12%
Manufacturing Company10%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business12%
Midsize Enterprise7%
Large Enterprise82%
Buyer's Guide
Hadoop
September 2022
Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: September 2022.
634,325 professionals have used our research since 2012.

Cask is ranked 11th in Hadoop while Informatica Big Data Parser is ranked 8th in Hadoop. Cask is rated 0.0, while Informatica Big Data Parser is rated 0.0. On the other hand, Cask is most compared with , whereas Informatica Big Data Parser is most compared with Apache Spark, HPE Ezmeral Data Fabric and Spark SQL.

See our list of best Hadoop vendors.

We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.