Amazon Redshift vs Oracle Autonomous Data Warehouse comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #6 with an average rating of 7.9, while Oracle is ranked #14 with an average rating of 7.7. Amazon Web Services (AWS) holds a 7.1% mindshare in CDW, compared to Oracle’s 5.3% mindshare. Additionally, 87% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Oracle users who would recommend it.

Amazon Redshift

Read 73 Amazon Redshift reviews

4,140 Views
2,857 Comparison Views

87% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

2,432 Views
1,775 Comparison Views

95% willing to recommend

Amazon Redshift

Oracle Autonomous Data Ware...

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Executive SummaryUpdated on Dec 18, 2024

Amazon Redshift and Oracle Autonomous Data Warehouse compete in the cloud data warehousing space. Amazon Redshift often has the upper hand in pricing and support, making it cost-effective for SMEs, while Oracle Autonomous Data Warehouse is favored for its advanced features, suitable for larger enterprises.

Features: Amazon Redshift offers dynamic scalability, enabling resource adjustment for large datasets, supported by a distributed architecture for enhanced performance. It provides multi-format data accessibility and security features like VPC configuration. Oracle Autonomous Data Warehouse boasts Exadata technology for high performance, comprehensive automation, and seamless Oracle Cloud integration, appreciated for its self-management and scalability.

Room for Improvement: Amazon Redshift is criticized for slow snapshot restoring, complex data integration, and the lack of real-time data handling. Suggestions include improved ETL processes and network data transfer. Oracle Autonomous Data Warehouse could enhance R language support and integration with various platforms, with recommendations for improved user-friendly features and handling of semi-structured data like JSON.

Ease of Deployment and Customer Service: Amazon Redshift supports both public and private cloud deployments, offering flexibility in hybrid settings, though direct access to their customer service can be challenging. Oracle Autonomous Data Warehouse provides cloud deployment options with dedicated customer service, though integration complexities remain an area for improvement in interconnectivity.

Pricing and ROI: Amazon Redshift’s competitive pricing and pay-as-you-use model appeal to firms needing scalable solutions, offering cost efficiency for sporadic workloads. Oracle Autonomous Data Warehouse, despite higher pricing, delivers a favorable ROI with an extensive feature set and automation that reduces long-term operational expenses, appealing to larger data initiatives.

To learn more, read our detailed Amazon Redshift vs. Oracle Autonomous Data Warehouse Report (Updated: April 2026).

Buyer's Guide

Amazon Redshift vs. Oracle Autonomous Data Warehouse

April 2026

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Review summaries and opinions

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

Categories and Ranking

Amazon Redshift

Ranking in Cloud Data Warehouse

6th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Database Management Systems (DBMS) (8th)

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

14th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.1%, down from 7.2% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.3%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon Redshift	7.1%
Oracle Autonomous Data Warehouse	5.3%
Other	87.6%

Cloud Data Warehouse

Featured Reviews

Hemanthreddy Vakiti

Data Engineer at a tech vendor with 10,001+ employees

Optimized restaurant analytics has driven faster insights and streamlined daily reporting

Amazon Redshift offers massive parallel processing capability, allowing it to handle millions of records, along with integration with other AWS features such as S3 and QuickSight. The column-level storage supports high performance and easy data retrieval compared to other tools. The integration with S3 has helped my team immensely since S3 is our starting source, and the direct integration with Amazon Redshift simplifies the transformation and loading process. Columnar storage has benefited our performance significantly, allowing us to extract specific rows from tables with years of data much faster than other tools with row-level storage. Amazon Redshift has positively impacted our organization by significantly improving query performance and speed. Features such as easy integration with S3 allow us to process millions of records efficiently, ultimately saving us nearly one hour per day for our project.

Read full review

Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

Provides self-repair features, but the setup is complex

We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

Read full review

Quotes from Members

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

Pros

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot."

"Amazon Redshift is very fast, has really good response times, and is very user-friendly."

"Redshift allows you to transform different data formats and consolidate them into one Redshift cluster. This means you can transform various siloed data sources like Excel files and CSV files into Redshift."

"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."

"We found AWS Redshift to be the leader in capability and provides an ecosystem of related services from AWS, many of which are free."

"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."

"The most valuable feature is its scalability."

"The most valuable features of Amazon Redshift include everything being integrated within Amazon, making it really easy to run queries faster, allowing us to retrieve data as soon as possible compared to other tools."

More Amazon Redshift pros

"The autonomous database provides several benefits and unmatched performance."

"The integration feature is very good because you can automate protection security automatically, restricting the access of unauthorized people."

"It is a very stable tool...It is an extremely scalable tool."

"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."

"The product is easy to use."

"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."

"One advantage is that if you already have an Oracle Database, it easily integrates with that."

"I highly recommend it for companies who want to test their application functionality, dev, or test DBs for cost optimization."

More Oracle Autonomous Data Warehouse pros

Cons

"Planting is the primary key enforcement that should be improved."

"Redshift is costly compared to other solutions."

"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."

"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."

"I’d like to see these RedShift features arrive in other languages, such as SQL's ColumnStore index."

"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."

"It is difficult to work with unstructured data and JSON documents."

"The initial setup for Amazon Redshift is often complex. Sometimes they have difficulty understanding what issues we are experiencing."

More Amazon Redshift cons

"A lot of the tools that were previously there have now been taken away."

"It is good as data warehouses go, but it is not that good for really big data."

"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."

"One of the major problem is creating custom tablespace."

"The setup is complex."

"The installation process is complex. Oracle can make the installation process better."

"Ease of connectivity could be improved."

"Ease of interconnectivity could be improved by which I mean setting up the VPN access and the like from on-premises to cloud."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."

"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."

"The best part about this solution is the cost."

"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."

"Pricing for Amazon Redshift is reasonable, though it could be somewhat higher than other solutions, such as Azure. Still, when you base your comparison on the services offered and the pricing, it's the most reasonable versus its competitors, such as RDS."

"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

"The solution is available at a mid-range price compared to other vendors."

"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."

More Amazon Redshift pricing and cost advice

"ROI is high."

"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."

"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."

"The solution is expensive."

"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."

"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."

"The solution's cost is reasonable."

"The price depends on the configuration we choose."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Construction Company

Manufacturing Company

Media Company

Financial Services Firm

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	11

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

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 dat...

See all answers

What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

See all answers

What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?

We pay approximately $70,000 per month. The cost includes maintenance and support.

See all answers

What needs improvement with Oracle Autonomous Data Warehouse?

Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.

See all answers

What is your primary use case for Oracle Autonomous Data Warehouse?

We are using Oracle Autonomous Data Warehouse for analytics in my company.

See all answers

Comparisons

Snowflake vs Amazon Redshift

Compared 14% of the time

Teradata vs Amazon Redshift

Compared 9% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 6% of the time

AWS Lake Formation vs Amazon Redshift

Compared 6% of the time

Yellowbrick Data Warehouse vs Amazon Redshift

Compared 3% of the time

More Amazon Redshift Competitors

BigQuery vs Oracle Autonomous Data Warehouse

Compared 22% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 12% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 8% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 5% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

Amazon Redshift

April 2026

Download Amazon Redshift product report

Buyer's Guide

Oracle Autonomous Data Warehouse

March 2026

Download Oracle Autonomous Data Warehouse product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“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.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.

Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

Oracle

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank

Buyer's Guide

Amazon Redshift vs. Oracle Autonomous Data Warehouse

April 2026

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