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Amazon Redshift vs Oracle Autonomous Data Warehouse comparison

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Amazon Redshift

Read 58 Amazon Redshift reviews
8,203 views|6,066 comparisons
87% willing to recommend
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Oracle Autonomous Data Warehouse

Read 16 Oracle Autonomous Data Warehouse reviews
3,427 views|2,255 comparisons
100% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
Amazon Redshift vs. Oracle Autonomous Data Warehouse
March 2024
Executive Summary

We performed a comparison between Amazon Redshift and Oracle Autonomous Data Warehouse based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Amazon Redshift vs. Oracle Autonomous Data Warehouse Report (Updated: March 2024).
Download the complete report
768,578 professionals have used our research since 2012.
Featured Review
Luca Stephan
Provides one place where we can store data, and allows us to easily connect to other services with AWS
We are a consultancy company of 1,500 people. Those who use a sophisticated data warehouse architecture tailored to the business requirements,... Read more →
MichaelBeeck
Researched Amazon Redshift but chose Oracle Autonomous Data Warehouse: It is a good data management system and the setup is easy and straightforward
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature of Amazon Redshift is its ability to handle really large sets of data.""The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.""The product offers good support for the data lake.""The valuable features are performance, data compression, and scalability.""Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers.""The processing of data is very fast.""It allows for the storage of huge amounts of data.""The solution has very competitive pricing."

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"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions.""Self-patching and runs machine-learning across its logs all the time""One advantage is that if you already have an Oracle Database, it easily integrates with that.""It is a very stable tool...It is an extremely scalable tool.""The performance and scalability are awesome.""It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues.""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."

More Oracle Autonomous Data Warehouse Pros →

Cons
"This solution lacks integration with non-AWS sources.""The technical support should be better in terms of their knowledge, and they should be more customer-friendly.""Should be made available across zones, like other Multi-AZ solutions.""I would like to improve the pricing and the simplicity of using this solution.""Running parallel queries results in poor performance and this needs to be improved.""The initial deployment was complex.""Query compilation time needs a lot of improvement for cases where you are generating queries dynamically.""We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."

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"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable.""They should make the solution more user-friendly.""The solution lacks visibility options.""The installation process is complex. Oracle can make the installation process better.""A lot of the tools that were previously there have now been taken away.""I would like to see an on-premise solution in the future.""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.""Ease of connectivity could be improved."

More Oracle Autonomous Data Warehouse Cons →

Pricing and Cost Advice
  • "Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
  • "If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
  • "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."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."

    • More Amazon Redshift Pricing and Cost Advice →

  • "The cost is perfect with Oracle Universal credit."
  • "ROI is high."
  • "You pay as you go, and you don't pay for services that you don't use."
  • "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."
  • "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 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."
  • "The price depends on the configuration we choose."

    • More Oracle Autonomous Data Warehouse Pricing and Cost Advice →

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    Questions from the Community
    How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
    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 »
    What do you like most about Amazon Redshift?
    Top Answer:Redshift Spectrum is the most valuable feature.
    Read all 33 answers   →
    What is your experience regarding pricing and costs for Amazon Redshift?
    Top Answer:The product is quite expensive.
    Read all 24 answers   →
    What do you like most about Oracle Autonomous Data Warehouse?
    Top Answer: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… more »
    Read all 16 answers   →
    What is your experience regarding pricing and costs for Oracle Autonomous...
    Top Answer:Cost-wise, it's a solid seven out of ten. A bit costly, but it is a good tool.
    Read all 13 answers   →
    What needs improvement with Oracle Autonomous Data Warehouse?
    Top Answer:My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on… more »
    Read all 15 answers   →
    Ranking
    4th
    out of 18 in Cloud Data Warehouse
    Views
    8,203
    Comparisons
    6,066
    Reviews
    23
    Average Words per Review
    480
    Rating
    7.7
    10th
    out of 18 in Cloud Data Warehouse
    Views
    3,427
    Comparisons
    2,255
    Reviews
    7
    Average Words per Review
    556
    Rating
    8.1
    Comparisons
    Learn More
    Amazon Web Services (AWS)
    Oracle
    Overview

    What is Amazon Redshift?

    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

    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.

    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
    Computer Software Company32%
    Comms Service Provider14%
    Retailer11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Educational Organization50%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Financial Services Firm18%
    Individual & Family Service9%
    VISITORS READING REVIEWS
    Educational Organization43%
    Financial Services Firm9%
    Computer Software Company8%
    Manufacturing Company4%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    REVIEWERS
    Small Business38%
    Midsize Enterprise6%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise47%
    Large Enterprise39%
    Buyer's Guide
    Amazon Redshift vs. Oracle Autonomous Data Warehouse
    March 2024
    Free Report: Amazon Redshift vs. Oracle Autonomous Data Warehouse
    Find out what your peers are saying about Amazon Redshift vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2024.
    DOWNLOAD NOW
    768,578 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Amazon Redshift is rated 7.8, while Oracle Autonomous Data Warehouse is rated 8.6. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and VMware Tanzu Greenplum, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Teradata. 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.