Compare Actian ParAccel vs. Oracle Big Data Appliance

Actian ParAccel is ranked 17th in Data Warehouse while Oracle Big Data Appliance which is ranked 11th in Data Warehouse with 1 review. Actian ParAccel is rated 0, while Oracle Big Data Appliance is rated 0. On the other hand, the top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Actian ParAccel is most compared with Amazon Redshift, Snowflake and Teradata, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Teradata and Apache Hadoop.
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Most Helpful Review
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352,760 professionals have used our research since 2012.
Ranking
17th
out of 30 in Data Warehouse
Views
854
Comparisons
298
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
11th
out of 30 in Data Warehouse
Views
2,401
Comparisons
1,245
Reviews
1
Average Words per Review
388
Avg. Rating
9.0
Top Comparisons
Compared 50% of the time.
Compared 19% of the time.
Compared 17% of the time.
Also Known As
ParAccel
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Oracle
Overview
ParAccel's analytic platform accelerates and improves organization's decision making and opens the door for innovation, growth, and a sustainable competitive advantage.

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

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Sample Customers
Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategyCaixa Bank
Find out what your peers are saying about Oracle, Micro Focus, Teradata and others in Data Warehouse. Updated: July 2019.
352,760 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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