Compare BlueData vs. Cask

BlueData is ranked 11th in Hadoop while Cask is ranked 12th in Hadoop. BlueData is rated 0, while Cask is rated 0. On the other hand, BlueData is most compared with Bright Computing, MapR and Cloudera Distribution for Hadoop, whereas Cask is most compared with Hortonworks Data Platform, Informatica Big Data Parser and BlueData.
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BlueData Logo
827 views|568 comparisons
Cask Logo
699 views|507 comparisons
Ranking
11th
out of 24 in Hadoop
Views
827
Comparisons
568
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
12th
out of 24 in Hadoop
Views
699
Comparisons
507
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.
384,324 professionals have used our research since 2012.
Top Comparisons
Compared 30% of the time.
Compared 17% of the time.
Compared 84% of the time.
Compared 10% of the time.
Compared 7% of the time.
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BlueData
Cask
Overview

The BlueData EPIC™ (Elastic Private Instant Clusters) software platform solves the infrastructure challenges and limitations that can slow down and stall Big Data deployments. With EPIC software, you can spin up Hadoop and Spark clusters – with the data and analytical tools that your data scientists need – in minutes rather than months.

Leveraging the power of containers, BlueData EPIC makes it easier, faster, and more cost-effective to deploy Big Data infrastructure and applications—including Hadoop, Spark, Kafka, Cassandra, and more— whether on-premises or in the public cloud. Your data scientists and analysts can use the tools they prefer. You can run it with any shared storage environment, so you don’t have to move your data. And it delivers the enterprise-grade security and governance that your IT teams require.

With the BlueData EPIC software platform, you can provide a highly flexible and secure Big-Data-as-a-Service environment to enable faster time-to-insights and faster time-to-value – now available either on-premises or on AWS.

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.

Offer
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Sample Customers
The Advisory Board Company, AIG, Attunity, Comcast, conEdison, HGST, Intellisoft, John Hopkins, Tarleton State University, National Supercomputing Center, Orange, QuantresAT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, Kogentix
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: December 2019.
384,324 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.
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