Amazon Redshift vs Infobright DB comparison

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Executive Summary

We performed a comparison between Amazon Redshift and Infobright DB based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: March 2024).
765,234 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
"Has a very user-friendly SQL editor and it's very easy to use the connectors.""It's scalable because it's on the cloud.""Setup is easy. It's a fast solution with machine learning features, good integration, and a good API.""I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently.""Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten.""The feature that we find most useful is the ability to do analytics on the fly.""It is quite simple to use and there are no issues with creating the tables.""Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."

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"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

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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.""Amazon Redshift could improve the user interface support.""It would be good to see Redshift as a serverless offering.""Query compilation time needs a lot of improvement for cases where you are generating queries dynamically.""One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum.""Planting is the primary key enforcement that should be improved.""In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.""The OLAP slide and dice features need to be improved."

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"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

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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."
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  • "Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
  • More Infobright DB 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.
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    7.8
    27th
    out of 33 in Data Warehouse
    Views
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    Also Known As
    Infobright
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    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

    Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
    Top Industries
    REVIEWERS
    Computer Software Company33%
    Comms Service Provider15%
    Retailer11%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Educational Organization49%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    No Data Available
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise25%
    Large Enterprise34%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise53%
    Large Enterprise37%
    REVIEWERS
    Small Business70%
    Midsize Enterprise10%
    Large Enterprise20%
    Buyer's Guide
    Data Warehouse
    March 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 57 reviews while Infobright DB is ranked 27th in Data Warehouse. Amazon Redshift is rated 7.8, while Infobright DB 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 Infobright DB writes "If you need a real big data solution, look for a distributed solution that actually has a proven track record". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Microsoft Azure Synapse Analytics, Vertica and Teradata, whereas Infobright DB is most compared with MySQL and LocalDB.

    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.