Compare Amazon Redshift vs. Oracle Exadata

Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 4 reviews while Oracle Exadata is ranked 1st in Data Warehouse with 13 reviews. Amazon Redshift is rated 8.6, while Oracle Exadata is rated 8.6. The top reviewer of Amazon Redshift writes "Easy to set up and easy to connect the many tools that connect to it". On the other hand, the top reviewer of Oracle Exadata writes "Exadata can significantly improve performance but there's a learning curve in a few key areas". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Oracle Exadata is most compared with Teradata, Netezza and Oracle Database Appliance.
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Amazon Redshift Logo
12,646 views|9,069 comparisons
Oracle Exadata Logo
19,215 views|13,646 comparisons
Most Helpful Review
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: September 2019.
372,906 professionals have used our research since 2012.
Quotes From Members

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

Pros
The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.It allows you write complex queries and perform row by row processes.It allows for the storage of huge amounts of data.The ability to reload data multiple times at different times.

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The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture.Reduced the cost while providing the benefits of Exadata storage, like, HCC compression, high disk capacity, etc.The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable.Our machine is used for our internal development of Oracle-based solutions, PoC benchmarking, and training/familiarization.

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Cons
The speed of the solution and its portability needs improvement.Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.Should be made available across zones, like other Multi-AZ solutions.

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It's too expensive per terabyte. It's complex.They should have allowed SQL offloading with reduced cost.We had issues with system restoration.We would like an option of a hardware-only support solution, but Oracle currently does not provide this.

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Pricing and Cost Advice
It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.

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Companies with limited budget for high end technology can now afford the Exadata machine.The price is very high.I did note that Oracle does tend to internally oversize things especially if they want to fill up a budget, and hence third-party oversight is essential.

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Ranking
3rd
Views
12,646
Comparisons
9,069
Reviews
3
Average Words per Review
195
Avg. Rating
8.7
1st
out of 30 in Data Warehouse
Views
19,215
Comparisons
13,646
Reviews
12
Average Words per Review
487
Avg. Rating
8.8
Top Comparisons
Compared 21% of the time.
Compared 18% of the time.
Compared 14% of the time.
Compared 23% of the time.
Compared 16% of the time.
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Amazon
Oracle
Overview

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.

Oracle Exadata Database Machine is a modern framework, engineered to run databases and to scale out database servers.

The main benefit of Exadata is speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors and data warehouses, while solving poor performances of old database architecture.

The Oracle Exadata Database Machine features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information. It is ideal for companies looking to build up their infrastructure from scratch.

For more information on Oracle Exadata Database Machine, visit Oracle.com

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Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449 PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Top Industries
REVIEWERS
Comms Service Provider29%
Retailer14%
Recruiting/Hr Firm14%
Pharma/Biotech Company14%
VISITORS READING REVIEWS
Software R&D Company32%
Media Company11%
Financial Services Firm10%
Comms Service Provider6%
REVIEWERS
Financial Services Firm21%
Insurance Company16%
Comms Service Provider16%
Retailer11%
VISITORS READING REVIEWS
Software R&D Company40%
Financial Services Firm12%
Comms Service Provider8%
Media Company6%
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: September 2019.
372,906 professionals have used our research since 2012.
We monitor all Cloud 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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