Compare Amazon Redshift vs. Oracle Autonomous Data Warehouse
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Oracle Autonomous Data Warehouse is ranked 6th in Cloud Data Warehouse with 4 reviews. Amazon Redshift is rated 7.8, while Oracle Autonomous Data Warehouse 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 Autonomous Data Warehouse writes "Saves time by allowing me to simply load my data and go". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Microsoft Azure SQL Data Warehouse and Amazon Redshift. See our Amazon Redshift vs. Oracle Autonomous Data Warehouse report.
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Most Helpful Review | |||
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 Find out what your peers are saying about Amazon Redshift vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2020. 407,845 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. | The analytics have been very good. We've found them to be quite useful. I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system. I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW. Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets. |
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. | Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable. I would like to see an on-premise solution in the future. I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end. An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud. |
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. | The cost is perfect with Oracle Universal credit. |
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Ranking  | |
Views 13,645 Comparisons 9,767 Reviews 8 Average Words per Review 324 Avg. Rating 7.9 | Views 2,061 Comparisons 1,300 Reviews 4 Average Words per Review 366 Avg. Rating 8.8 |
Top Comparisons | |
 Compared 19% of the time.  Compared 19% of the time.  Compared 13% of the time. | Compared 33% of the time.  Compared 30% of the time.  Compared 24% of the time. |
Learn | |
| Amazon | Oracle Video Not Available |
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. | Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes. |
Offer | |
Learn more about Amazon Redshift | Learn more about Oracle Autonomous Data Warehouse |
Sample Customers | |
| Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449 | Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank |
Top Industries | |
Comms Service Provider33% Software R&D Company11% Retailer11% Recruiting/Hr Firm11% Software R&D Company41% Media Company14% Comms Service Provider8% Insurance Company5% | Software R&D Company63% Comms Service Provider10% K 12 Educational Company Or School5% Construction Company4% |
Find out what your peers are saying about Amazon Redshift vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2020.
407,845 professionals have used our research since 2012.
See also Amazon Redshift Reviews, Oracle Autonomous Data Warehouse Reviews, and our list of Best Cloud Data Warehouse Companies.
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