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Amazon Redshift vs Oracle Autonomous Data Warehouse comparison

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Buyer's Guide
Amazon Redshift vs. Oracle Autonomous Data Warehouse
July 2022
Find out what your peers are saying about Amazon Redshift vs. Oracle Autonomous Data Warehouse and other solutions. Updated: July 2022.
610,518 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
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing.""Amazon Redshift is very fast. It has really good response times. It's very user-friendly.""The most valuable feature is its scalability.""This service can merge and integrate well with all databases.""It's scalable because it's on the cloud.""Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.""I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently.""The feature that we find most useful is the ability to do analytics on the fly."

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"Self-patching and runs machine-learning across its logs all the time""The performance and scalability are awesome.""The solution integrates well with Power BI.""The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."

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Cons
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure.""Improvement could be made in the area of streaming data.""The technical support should be better in terms of their knowledge, and they should be more customer-friendly.""Planting is the primary key enforcement that should be improved.""The refreshment rate of data reaching Redshift from other sources should be faster.""We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues.""There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity.""This solution lacks integration with non-AWS sources."

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"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment.""Ease of connectivity could be improved.""The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora.""The initial setup was pretty complex. It was not easy."

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Pricing and Cost Advice
  • "My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD."
  • "At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
  • "The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."
  • "This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."
  • "The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."
  • "Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."
  • "It's pay per use. You can have multiple models."
  • More Amazon Redshift Pricing and Cost Advice →

  • "You pay as you go, and you don't pay for services that you don't use."
  • More Oracle Autonomous Data Warehouse Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.
    Top Answer:The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term.
    Top Answer:You pay as you go, and you don't pay for services that you don't use. If you feel that you need additional resources then you can increase them and pay only for them. There is no need to worry about… more »
    Top Answer:It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment. On-premises, you can integrate with different vendors such as Microsoft. There… more »
    Ranking
    4th
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    Average Words per Review
    437
    Rating
    7.6
    9th
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    5,342
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    4,053
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    4
    Average Words per Review
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    Rating
    9.0
    Comparisons
    Learn More
    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
    REVIEWERS
    Comms Service Provider24%
    Computer Software Company24%
    Retailer18%
    Logistics Company12%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider12%
    Financial Services Firm9%
    Media Company8%
    VISITORS READING REVIEWS
    Computer Software Company43%
    Comms Service Provider11%
    Government9%
    Financial Services Firm5%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise33%
    Large Enterprise36%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business44%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise10%
    Large Enterprise77%
    Buyer's Guide
    Amazon Redshift vs. Oracle Autonomous Data Warehouse
    July 2022
    Find out what your peers are saying about Amazon Redshift vs. Oracle Autonomous Data Warehouse and other solutions. Updated: July 2022.
    610,518 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 15 reviews while Oracle Autonomous Data Warehouse is ranked 9th in Cloud Data Warehouse with 4 reviews. Amazon Redshift is rated 7.6, while Oracle Autonomous Data Warehouse is rated 9.0. The top reviewer of Amazon Redshift writes "Quick to deploy, easy to use, and performs well, but ingesting data in realtime should be improved". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Vertica and AWS Lake Formation, whereas Oracle Autonomous Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, BigQuery and Azure Data Factory. See our Amazon Redshift vs. Oracle Autonomous Data Warehouse report.

    See our list of best Cloud Data Warehouse vendors.

    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.