Compare Actian ParAccel vs. Apache Hadoop

Actian ParAccel is ranked 19th in Data Warehouse while Apache Hadoop is ranked 4th in Data Warehouse with 7 reviews. Actian ParAccel is rated 0, while Apache Hadoop is rated 7.6. On the other hand, 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, Snowflake and Teradata, whereas Apache Hadoop is most compared with Snowflake, Pivotal Greenplum and Oracle Exadata.
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Actian ParAccel Logo
349 views|299 comparisons
Apache Hadoop Logo
11,979 views|10,438 comparisons
Most Helpful Review
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372,185 professionals have used our research since 2012.
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This is a low cost and powerful solution.​There are no licensing costs involved, hence money is saved on the software infrastructure​.

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372,185 professionals have used our research since 2012.
Ranking
19th
out of 30 in Data Warehouse
Views
349
Comparisons
299
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 30 in Data Warehouse
Views
11,979
Comparisons
10,438
Reviews
7
Average Words per Review
478
Avg. Rating
7.6
Top Comparisons
Compared 47% of the time.
Compared 24% of the time.
Compared 15% of the time.
Compared 31% of the time.
Compared 30% of the time.
Compared 13% 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
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company29%
Financial Services Firm20%
Comms Service Provider10%
Government7%
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: October 2019.
372,185 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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