Amazon Redshift vs. Oracle Exadata

As of July 2019, Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 4 reviews vs Oracle Exadata which is ranked 1st in Data Warehouse with 18 reviews. The top reviewer of Amazon Redshift writes "Gives us the ability to increase space requirements". 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. Oracle Exadata is most compared with Teradata, Netezza and Oracle Database Appliance.
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Amazon Redshift Logo
14,779 views|8,491 comparisons
Oracle Exadata Logo
38,048 views|13,317 comparisons
Most Helpful Review
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: June 2019.
352,354 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
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.Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift.Easy to build out our snowflake design and load data.

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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.They just have a lot of products, and they work well together.

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Cons
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.Migrating data from other data sources can be challenging when you are working with multibyte character sets.It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch.

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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.It would be nice to have a single click button to, say, migrate my VMware VM into the Oracle VM, or vice-versa.

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Pricing and Cost Advice
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.BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge.

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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.I think it's free.

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Ranking
3rd
Views
14,779
Comparisons
8,491
Reviews
4
Average Words per Review
291
Avg. Rating
8.3
1st
out of 30 in Data Warehouse
Views
38,048
Comparisons
13,317
Reviews
19
Average Words per Review
417
Avg. Rating
8.5
Top Comparisons
Compared 23% of the time.
Compared 17% of the time.
Compared 14% of the time.
Compared 25% 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
VISITORS READING REVIEWS
Financial Services Firm29%
Manufacturing Company18%
Government12%
Energy/Utilities Company11%
REVIEWERS
Financial Services Firm21%
Comms Service Provider16%
Insurance Company16%
Retailer11%
VISITORS READING REVIEWS
Financial Services Firm46%
Comms Service Provider17%
Health, Wellness And Fitness Company8%
Government6%
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise33%
Large Enterprise40%
REVIEWERS
Small Business26%
Midsize Enterprise9%
Large Enterprise66%
VISITORS READING REVIEWS
Small Business14%
Large Enterprise86%
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: June 2019.
352,354 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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