Amazon Redshift vs Oracle Autonomous Data Warehouse comparison

Amazon Redshift vs. Oracle Autonomous Data Warehouse

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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

9th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

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

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

12th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 6.9%, down from 7.0% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.7%, up from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon Redshift	6.9%
Oracle Autonomous Data Warehouse	5.7%
Other	87.4%

Cloud Data Warehouse

Featured Reviews

Pavan Kum

Analyst at Cepstrum(EEE Students Society), IIT Guwahati

Handles large data efficiently but initial setup can be complex

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. Its friendly functionality connects with all tools linked to Amazon, and the data retrieval is very fast, making it a good warehousing tool. The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly. Scalability is the best feature of Amazon Redshift. Amazon Redshift handles scalability automatically, so we do not need to scale up or down; it is all managed by Redshift.

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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…

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Quotes from Members

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

Pros

"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."

"I would rate Amazon Redshift a ten on a scale of one to ten."

"Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift."

"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."

"The solution is scalable. It handles different loads very well."

"The solution is easy to set up and use."

"The most valuable feature of Redshift is its cluster."

"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."

More Amazon Redshift pros

"The product has self-repair features."

"A very good integration feature that restricts access to unauthorized people."

"Self-patching and runs machine-learning across its logs all the time"

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

"The solution is used for analytics and it works for our data security needs."

"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."

"The product is easy to use."

"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."

More Oracle Autonomous Data Warehouse pros

Cons

"The customer support could be more responsive."

"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."

"Amazon Redshift is a little more expensive than other products."

"The initial deployment was complex."

"Amazon Redshift could improve the user interface support."

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

"It takes a lot of time to ingest and update the data."

"The product must become a bit more serverless."

More Amazon Redshift cons

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

"I would like to see an on-premise solution in the future."

"They should make the solution more user-friendly."

"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."

"We are not satisfied with the technical support. Their understanding is lacking."

"Oracle Autonomous Data Warehouse is not available as an on-premises solution."

"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."

"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."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The solution has very competitive pricing."

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

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

"Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"It's pay per use. You can have multiple models."

"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."

"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."

More Amazon Redshift pricing and cost advice

"The solution is expensive."

"The price depends on the configuration we choose."

"ROI is high."

"The solution's cost is reasonable."

"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."

"You pay as you go, and you don't pay for services that you don't use."

"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."

"The cost is perfect with Oracle Universal credit."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

10%

Computer Software Company

10%

Media Company

Manufacturing Company

10%

Media Company

Computer Software Company

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	28

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...

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.

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

The pricing of Amazon Redshift is expensive.

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.

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.

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

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

Snowflake vs Amazon Redshift

Comparisons

Compared 15% of the time

Teradata vs Amazon Redshift

Compared 10% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 7% of the time

AWS Lake Formation vs Amazon Redshift

Compared 6% of the time

IBM Netezza Performance Server vs Amazon Redshift

Compared 3% of the time

More Amazon Redshift Competitors

BigQuery vs Oracle Autonomous Data Warehouse

Compared 24% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 16% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 13% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 9% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 5% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Amazon Redshift

Download Amazon Redshift product report

Oracle Autonomous Data Warehouse

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

Amazon Redshift vs. Oracle Autonomous Data Warehouse