Actian ParAccel vs. Apache Hadoop

As of May 2019, Actian ParAccel is ranked 18th in Data Warehouse vs Apache Hadoop which is ranked 6th in Data Warehouse with 6 reviews. The top reviewer of Apache Hadoop writes "We are able to ingest huge volumes/varieties of data, but it needs a data visualization tool and enhanced Ambari for management". Actian ParAccel is most compared with Amazon Redshift, Teradata and Vertica. Apache Hadoop is most compared with Pivotal Greenplum, Snowflake and Oracle Exadata.
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Actian ParAccel Logo
806 views|287 comparisons
Apache Hadoop Logo
11,471 views|8,503 comparisons
Most Helpful Review
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Quotes From Members

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Pricing and Cost Advice
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​There are no licensing costs involved, hence money is saved on the software infrastructure​.Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea.

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Ranking
18th
out of 30 in Data Warehouse
Views
806
Comparisons
287
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
out of 30 in Data Warehouse
Views
11,471
Comparisons
8,503
Reviews
6
Average Words per Review
421
Avg. Rating
7.5
Top Comparisons
Compared 49% of the time.
Compared 18% of the time.
Compared 17% of the time.
Compared 35% of the time.
Compared 23% of the time.
Compared 16% of the time.
Also Known As
ParAccel
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Apache
Overview
ParAccel's analytic platform accelerates and improves organization's decision making and opens the door for innovation, growth, and a sustainable competitive advantage.The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
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Sample Customers
Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategyAmazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: April 2019.
341,176 professionals have used our research since 2012.
We monitor all Data Warehouse 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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