Compare Actian ParAccel vs. Amazon Redshift

Actian ParAccel is ranked 17th in Data Warehouse while Amazon Redshift which is ranked 3rd in Cloud Data Warehouse with 3 reviews. Actian ParAccel is rated 0, while Amazon Redshift is rated 0. On the other hand, the top reviewer of Amazon Redshift writes "It helped my customers migrate off on-premise platforms". Actian ParAccel is most compared with Amazon Redshift, Snowflake and Teradata, whereas Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata.
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Actian ParAccel Logo
854 views|298 comparisons
Amazon Redshift Logo
14,779 views|8,491 comparisons
Most Helpful Review
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Find out what your peers are saying about Oracle, Micro Focus, Teradata and others in Data Warehouse. Updated: July 2019.
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
Information Not Available
Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project.

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Ranking
17th
out of 30 in Data Warehouse
Views
854
Comparisons
298
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
Views
14,779
Comparisons
8,491
Reviews
4
Average Words per Review
291
Avg. Rating
8.3
Top Comparisons
Compared 50% of the time.
Compared 19% of the time.
Compared 17% of the time.
Compared 23% of the time.
Compared 17% of the time.
Compared 14% of the time.
Also Known As
ParAccel
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Actian
Amazon
Overview
ParAccel's analytic platform accelerates and improves organization's decision making and opens the door for innovation, growth, and a sustainable competitive advantage.

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

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Learn more about Actian ParAccel
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Sample Customers
Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategyLiberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm29%
Manufacturing Company18%
Government12%
Energy/Utilities Company11%
Find out what your peers are saying about Oracle, Micro Focus, Teradata and others in Data Warehouse. Updated: July 2019.
353,345 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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