Compare Amazon Redshift vs. Oracle Exadata

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 6 reviews. Amazon Redshift is rated 7.8, while Oracle Exadata is rated 8.8. The top reviewer of Amazon Redshift writes "Good performance and integrates well with our Tableau solution". 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, Oracle Database Appliance and Netezza.
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Amazon Redshift Logo
13,645 views|9,767 comparisons
Oracle Exadata Logo
20,439 views|14,083 comparisons
Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: March 2020.
408,459 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 processing of data is very fast.In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes.The product is relatively easy to use because there is no indexing and no partitions.The initial setup of this solution is straightforward.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.

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Compression is a great feature, where one can really save a lot of storage.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.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
It would be useful to have an option where all of the data can be queried at once and then have the result shown.Pricing is one of the things that it could improve. It should be more competitive.The product could be improved by making it more flexible.Running parallel queries results in poor performance and this needs to be improved.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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The technical support is in need of improvement.It's too expensive per terabyte. It's complex.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
The best part about this solution is the cost.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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Exadata is an expensive tool, but, considering the ROI, it's worth going for the solution.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
4th
Views
13,645
Comparisons
9,767
Reviews
8
Average Words per Review
324
Avg. Rating
7.9
2nd
out of 31 in Data Warehouse
Views
20,439
Comparisons
14,083
Reviews
6
Average Words per Review
685
Avg. Rating
8.8
Top Comparisons
Compared 19% of the time.
Compared 19% of the time.
Compared 12% of the time.
Compared 21% of the time.
Compared 14% 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 Provider33%
Software R&D Company11%
Retailer11%
Recruiting/Hr Firm11%
VISITORS READING REVIEWS
Software R&D Company41%
Media Company14%
Comms Service Provider8%
Insurance Company5%
REVIEWERS
Financial Services Firm21%
Comms Service Provider16%
Insurance Company16%
Retailer11%
VISITORS READING REVIEWS
Software R&D Company49%
Comms Service Provider11%
Financial Services Firm6%
Media Company5%
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: March 2020.
408,459 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.