Compare Actian ParAccel vs. Aster Data Map Reduce

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"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

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511,607 professionals have used our research since 2012.
Ranking
23rd
out of 30 in Data Warehouse
Views
229
Comparisons
184
Reviews
0
Average Words per Review
0
Rating
N/A
18th
out of 30 in Data Warehouse
Views
163
Comparisons
106
Reviews
2
Average Words per Review
621
Rating
7.5
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Also Known As
ParAccel
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Overview
ParAccel's analytic platform accelerates and improves organization's decision making and opens the door for innovation, growth, and a sustainable competitive advantage.

SQL-MapReduceĀ is a framework created by Teradata Aster to allow developers to write powerful and highly expressive SQL-MapReduce functions in languages such as Java, C#, Python, C++, and R and push them into the discovery platform for high performance analytics. Analysts can then invoke SQL-MapReduce functions using standard SQL or R through Aster Database, the first discovery platform that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.

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Sample Customers
Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategy
Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: June 2021.
511,607 professionals have used our research since 2012.

Actian ParAccel is ranked 23rd in Data Warehouse while Aster Data Map Reduce is ranked 18th in Data Warehouse with 2 reviews. Actian ParAccel is rated 0.0, while Aster Data Map Reduce is rated 7.6. On the other hand, the top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". Actian ParAccel is most compared with Amazon Redshift, whereas Aster Data Map Reduce is most compared with .

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