Compare Cask vs. Informatica Big Data Parser

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Cask Logo
411 views|319 comparisons
Informatica Big Data Parser Logo
635 views|590 comparisons
Ranking
12th
out of 22 in Hadoop
Views
411
Comparisons
319
Reviews
0
Average Words per Review
0
Rating
N/A
10th
out of 22 in Hadoop
Views
635
Comparisons
590
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: June 2021.
509,570 professionals have used our research since 2012.
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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 Company29%
Comms Service Provider19%
Financial Services Firm8%
Pharma/Biotech Company7%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: June 2021.
509,570 professionals have used our research since 2012.

Cask is ranked 12th in Hadoop while Informatica Big Data Parser is ranked 10th 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 Hortonworks Data Platform and Apache Spark, whereas Informatica Big Data Parser is most compared with Apache Spark, Cloudera Distribution for Hadoop, Cloudera DataFlow, Hortonworks Data Platform and Spark SQL.

See our list of best Hadoop vendors.

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