Compare Cask vs. Informatica Big Data Parser

Cask is ranked 12th in Hadoop while Informatica Big Data Parser is ranked 10th in Hadoop. Cask is rated 0, while Informatica Big Data Parser is rated 0. On the other hand, Cask is most compared with Hortonworks Data Platform, Informatica Big Data Parser and BlueData, whereas Informatica Big Data Parser is most compared with Apache Spark, Spark SQL and Cloudera Distribution for Hadoop.
Cancel
You must select at least 2 products to compare!
Cask Logo
699 views|507 comparisons
Informatica Big Data Parser Logo
880 views|811 comparisons
Ranking
12th
out of 24 in Hadoop
Views
699
Comparisons
507
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
10th
out of 24 in Hadoop
Views
880
Comparisons
811
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: December 2019.
383,725 professionals have used our research since 2012.
Top Comparisons
Compared 84% of the time.
Compared 9% of the time.
Compared 7% of the time.
Also Known As
Big Data Parser
Learn
Cask
Informatica
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, KogentixWestern Union, UPMC, BNY Mellon
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: December 2019.
383,725 professionals have used our research since 2012.
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.
Sign Up with Email