Amazon Redshift vs Oracle Big Data Appliance comparison

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Amazon Web Services (AWS) Logo
7,785 views|5,798 comparisons
87% willing to recommend
Oracle Logo
761 views|587 comparisons
71% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two 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 Big Data Appliance Report (Updated: May 2024).
769,662 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Amazon Redshift is very fast. It has really good response times. It's very user-friendly.""The most valuable feature is the scalability, as it grows according to our needs.""Redshift is a major service of Amazon and is very scalable. It enables faster recalculations and data management, helping to retrieve data quickly.""If the analyst knows SQL, which is comfortable and easy to use to go between all of these tool stacks, I think it's reliable. It's a secure and reliable data warehouse.""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.""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.""It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."

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"This is a comprehensive solution that is easy to deploy.""Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.""The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

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Cons
"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.""The explain panel in the Redshift database could be better.""It takes a lot of time to ingest and update the data.""Infinite storage is available in Snowflake and is not available in Redshift.""The product could be improved by making it more flexible.""Amazon Redshift is a little more expensive than other products.""Amazon Redshift does not have the capability to dynamically increase the VM file.""The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."

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"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.""From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera.""The product should be simplified for the average user."

More Oracle Big Data Appliance 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 →

  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance 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: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.
    Top Answer:Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.
    Top Answer:From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
    Ranking
    4th
    Views
    7,785
    Comparisons
    5,798
    Reviews
    25
    Average Words per Review
    497
    Rating
    7.7
    14th
    out of 35 in Data Warehouse
    Views
    761
    Comparisons
    587
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    Comparisons
    Learn More
    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 Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

    For more information on Oracle Big Data Appliance, visit Oracle.com

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Caixa Bank
    Top Industries
    REVIEWERS
    Computer Software Company32%
    Comms Service Provider14%
    Manufacturing Company11%
    Retailer11%
    VISITORS READING REVIEWS
    Educational Organization50%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company10%
    University9%
    Government8%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise55%
    Large Enterprise35%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise65%
    Buyer's Guide
    Amazon Redshift vs. Oracle Big Data Appliance
    May 2024
    Find out what your peers are saying about Amazon Redshift vs. Oracle Big Data Appliance and other solutions. Updated: May 2024.
    769,662 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 59 reviews while Oracle Big Data Appliance is ranked 14th in Data Warehouse with 5 reviews. Amazon Redshift is rated 7.8, while Oracle Big Data Appliance is rated 8.0. 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 Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Amazon Redshift is most compared with Snowflake, Teradata, AWS Lake Formation, Vertica and Microsoft Azure Synapse Analytics, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Microsoft Azure Synapse Analytics and Teradata. See our Amazon Redshift vs. Oracle Big Data Appliance report.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all 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.