Actian ParAccel vs. Apache Hadoop

As of February 2019, Actian ParAccel is ranked 17th in Data Warehouse vs Apache Hadoop which is ranked 7th in Data Warehouse with 7 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, Vertica and Teradata. Apache Hadoop is most compared with Pivotal Greenplum, Oracle Exadata and Snowflake.
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Actian ParAccel Logo
762 views|283 comparisons
Apache Hadoop Logo
9,353 views|7,182 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
17th
out of 29 in Data Warehouse
Views
762
Comparisons
283
Reviews
0
Followers
145
Avg. Rating
N/A
7th
out of 29 in Data Warehouse
Views
9,353
Comparisons
7,182
Reviews
7
Followers
303
Avg. Rating
7.7
Top Comparisons
Compared 42% of the time.
Compared 35% of the time.
Compared 23% of the time.
Compared 38% of the time.
Compared 19% of the time.
Compared 15% of the time.
Also Known As
ParAccel
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Actian
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: January 2019.
316,786 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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