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Amazon Redshift vs IBM Db2 Warehouse on Cloud 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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IBM Db2 Warehouse on Cloud

Read 6 IBM Db2 Warehouse on Cloud reviews
327 views|295 comparisons
83% willing to recommend
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Buyer's Guide
Cloud Data Warehouse
March 2024
Executive Summary

We performed a comparison between Amazon Redshift and IBM Db2 Warehouse on Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2024).
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767,847 professionals have used our research since 2012.
Featured Review
Beverly R. Jamison
Scalable, reliable, and simple implementation
Amazon Redshift has benefited the company by allowing us to scale.
Anonymous User
Researched Amazon Redshift but chose IBM Db2 Warehouse on Cloud: You can store data in the cloud and use the database as a MPP server.
The organization (a customer of ours) has used it to create a sort of data hub to use as a foundation for other business applications, such as... Read more →
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The feature that we find most useful is the ability to do analytics on the fly.""The valuable features are performance, data compression, and scalability.""The most valuable feature is that the solution is fully embedded in the AWS stack.""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 solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""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.""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.""It allows for the storage of huge amounts of data."

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"It will be MPP, so performance should improve.""The performance is okay as long as the volume of queries is not too high.""The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"

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Cons
"What would make Amazon Redshift better is improvising on the pricing structure. For example, Acronis provides backups in cybersecurity, yet the pricing is a bit lesser than Amazon Redshift.""This solution lacks integration with non-AWS sources.""The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number.""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.""The solution could improve in handling more data formats and more native support for RDF.""For people who struggle with IAM or role-based management, the setup isn't easy.""Query compilation time needs a lot of improvement for cases where you are generating queries dynamically.""It would be good to see Redshift as a serverless offering."

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"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues.""Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue.""Ultimately, the product itself has challenges and we are not currently satisfied with the support, either.""Tech support for dashDB is awful. We usually have tickets open for three to four weeks."

More IBM Db2 Warehouse on Cloud 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 →

  • "If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."

    • More IBM Db2 Warehouse on Cloud 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 advice do you have for others considering IBM Db2 Warehouse on Cloud?
    Top Answer:Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operations… more »
    Read all 2 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
    15th
    out of 18 in Cloud Data Warehouse
    Views
    327
    Comparisons
    295
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM dashDB
    Learn More
    Amazon Web Services (AWS)
    IBM
    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

    IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Copenhagen Business School, BPM Northwest, GameStop
    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 Firm17%
    University10%
    Manufacturing Company10%
    Computer Software Company8%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise76%
    Buyer's Guide
    Cloud Data Warehouse
    March 2024
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    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse. Amazon Redshift is rated 7.8, while IBM Db2 Warehouse on Cloud is rated 7.6. 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 IBM Db2 Warehouse on Cloud writes "The "prefetch" feature anticipates needed data and keeps it available. BLU acceleration determines what data is unqualified for analysis and skips it". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Microsoft Azure Synapse Analytics, whereas IBM Db2 Warehouse on Cloud is most compared with IBM Db2 Warehouse, IBM Netezza Performance Server, Microsoft Azure Synapse Analytics and Snowflake.

    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.