Amazon Redshift vs Teradata IntelliFlex comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
7,785 views|5,798 comparisons
87% willing to recommend
Teradata Logo
484 views|296 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Redshift and Teradata IntelliFlex 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. Teradata IntelliFlex Report (Updated: March 2024).
769,479 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
"The feature that we find most useful is the ability to do analytics on the fly.""The initial setup is easy.""We have found Machine Learning use cases are very nice.""The processing of data is very fast.""The stability of Amazon Redshift is good.""I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar.""The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""Has a very user-friendly SQL editor and it's very easy to use the connectors."

More Amazon Redshift Pros →

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten.""Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion.""It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years.""IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want.""The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

More Teradata IntelliFlex Pros →

Cons
"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage.""Amazon Redshift is a little more expensive than other products.""The explain panel in the Redshift database could be better.""Running parallel queries results in poor performance and this needs to be improved.""Query compilation time needs a lot of improvement for cases where you are generating queries dynamically.""If you require a highly scalable solution, I would not recommend Amazon Redshift.""They should provide a better way to work with interim data in a structured way than to store it in parquet files locally.""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."

More Amazon Redshift Cons →

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved.""The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed.""They should add more connectors to different platforms.""The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access.""The solution’s pricing, scalability, and technical support response time could be improved."

More Teradata IntelliFlex 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 →

  • "Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
  • More Teradata IntelliFlex Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
    769,479 professionals have used our research since 2012.
    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:The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good.
    Top Answer:The solution’s pricing, scalability, and technical support response time could be improved.
    Top Answer:We use Teradata IntelliFlex for data warehousing, which is a way of presenting data for faster retrieval.
    Ranking
    4th
    Views
    7,785
    Comparisons
    5,798
    Reviews
    25
    Average Words per Review
    497
    Rating
    7.7
    11th
    out of 35 in Data Warehouse
    Views
    484
    Comparisons
    296
    Reviews
    3
    Average Words per Review
    606
    Rating
    8.3
    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

    Teradata IntelliFlex delivers real-time intelligence to place vital data into the hands of front-line decision makers, while extending traditional data warehouse functionality into the realm of tactical decision making. With IntelliFlex, you can combine both these strategic and operational workloads in a single data warehouse.

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Information Not Available
    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 Firm28%
    Computer Software Company16%
    Manufacturing Company9%
    Retailer8%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise55%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise6%
    Large Enterprise83%
    Buyer's Guide
    Amazon Redshift vs. Teradata IntelliFlex
    March 2024
    Find out what your peers are saying about Amazon Redshift vs. Teradata IntelliFlex and other solutions. Updated: March 2024.
    769,479 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 59 reviews while Teradata IntelliFlex is ranked 11th in Data Warehouse with 5 reviews. Amazon Redshift is rated 7.8, while Teradata IntelliFlex is rated 8.8. 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 Teradata IntelliFlex writes "A tool that provides high performance and speed to its users, along with an exceptional scalability option". Amazon Redshift is most compared with Teradata, Snowflake, AWS Lake Formation, Vertica and Microsoft Azure Synapse Analytics, whereas Teradata IntelliFlex is most compared with Teradata and Oracle Exadata. See our Amazon Redshift vs. Teradata IntelliFlex report.

    See our list of best 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.