Amazon Redshift vs SAP IQ comparison

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Amazon Web Services (AWS) Logo
8,203 views|6,066 comparisons
87% willing to recommend
SAP Logo
571 views|446 comparisons
81% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Redshift and SAP IQ 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. SAP IQ Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Beverly R. Jamison
Mani Velayudhan
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 is the scalability, as it grows according to our needs.""The most valuable feature is its scalability.""We have found Machine Learning use cases are very nice.""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.""The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""The most valuable feature is that the solution is fully embedded in the AWS stack.""Redshift Spectrum is the most valuable feature.""The product offers good support for the data lake."

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"Unbeatable speed and compression with a colummn-structured relational database.""The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution.""The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves moving data from SAP HANA to SAP NLS, which is essentially archiving. This allows us to retain access to the data via a link whenever it is required.""Columnar storage allows high compression, high load rates and high query performance.""It is very robust for ad hoc DW queries and its columnar compression is unique and valuable.""Valuable features for us include the compression, speed, fast response time, and easy object maintenance."

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Cons
"Redshift's GUI could be more user-friendly. It's easier to perform queries and all that stuff in Azure Synapse Analytics.""In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage.""Pricing is one of the things that it could improve. It should be more competitive.""The OLAP slide and dice features need to be improved.""Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.""The product could be improved by making it more flexible.""The solution is unable to work fast.""Amazon Redshift is a little more expensive than other products."

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"The room for improvement would be the marketing of the product, because this product is much better than advertised.""Concurrency and functional error messaging.""The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better.""The organization who owns the product does not support it well and appears not to be doing significant development for the future.""I think the universe should be part of the Sybase IQ tool set.""Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups."

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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 →

  • "Evaluate all options; check to see if you need expensive add-ons."
  • "Negotiate based on the features required."
  • "Negotiation is very important."
  • "The only costs after standard licensing fees are for add-ons and upgrades."
  • More SAP IQ 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:Redshift Spectrum is the most valuable feature.
    Top Answer:The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves… more »
    Top Answer:The solution’s pricing is high, but coverage is good with high implementation with customer requirements.
    Top Answer:The product should add more business intelligence factors.
    Ranking
    4th
    Views
    8,203
    Comparisons
    6,066
    Reviews
    23
    Average Words per Review
    480
    Rating
    7.7
    16th
    out of 34 in Data Warehouse
    Views
    571
    Comparisons
    446
    Reviews
    1
    Average Words per Review
    559
    Rating
    7.0
    Comparisons
    Snowflake logo
    Compared 30% of the time.
    SAP HANA logo
    Compared 18% of the time.
    SQL Server logo
    Compared 15% of the time.
    SAP BW4HANA logo
    Compared 14% of the time.
    Apache Hadoop logo
    Compared 10% of the time.
    Also Known As
    Sybase IQ
    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

    SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
    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
    Financial Services Firm55%
    Healthcare Company9%
    Insurance Company9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm38%
    Computer Software Company10%
    Manufacturing Company7%
    Government4%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    REVIEWERS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise9%
    Large Enterprise80%
    Buyer's Guide
    Amazon Redshift vs. SAP IQ
    March 2024
    Find out what your peers are saying about Amazon Redshift vs. SAP IQ and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while SAP IQ is ranked 16th in Data Warehouse with 17 reviews. Amazon Redshift is rated 7.8, while SAP IQ 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 SAP IQ writes "Easy to use, highly stable, but integration could improve". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Microsoft Azure Synapse Analytics, whereas SAP IQ is most compared with Snowflake, SAP HANA, SQL Server, SAP BW4HANA and Apache Hadoop. See our Amazon Redshift vs. SAP IQ 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.