Compare AWS Lake Formation vs. Actian ParAccel

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Top Answer: The solution is quite good at handling analytics. It's done a good job at helping us centralize them.
Top Answer: I'm not privvy to licesning information. I'm not sure how much the solution costs.
Top Answer: We occasionally work with third-party libraries and they fail to integrate with this product effectively. For the end-users, it's not as user-friendly as it could be. For example, if I have a Lake… more »
Ranking
23rd
out of 30 in Data Warehouse
Views
253
Comparisons
204
Reviews
0
Average Words per Review
0
Rating
N/A
7th
Views
805
Comparisons
590
Reviews
3
Average Words per Review
712
Rating
8.0
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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.

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

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Sample Customers
Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategy
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Top Industries
No Data Available
VISITORS READING REVIEWS
Media Company19%
Computer Software Company17%
Comms Service Provider16%
Financial Services Firm9%
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: May 2021.
479,763 professionals have used our research since 2012.

Actian ParAccel is ranked 23rd in Data Warehouse while AWS Lake Formation is ranked 7th in Cloud Data Warehouse with 3 reviews. Actian ParAccel is rated 0.0, while AWS Lake Formation is rated 8.0. On the other hand, the top reviewer of AWS Lake Formation writes "Good security, excellent online resources and easy to set up". Actian ParAccel is most compared with Amazon Redshift, whereas AWS Lake Formation is most compared with Snowflake, Microsoft Azure Synapse Analytics and Firebolt.

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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.