Actian Ingres vs Amazon Redshift comparison

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409 views|218 comparisons
100% willing to recommend
Amazon Web Services (AWS) Logo
8,203 views|6,066 comparisons
87% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Actian Ingres and Amazon Redshift 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: April 2024).
768,886 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 deployment of our solution across a number of servers using Ingres .NET has meant that we can protect the database server behind a highly secure firewall and deploy the front end solutions on a normal web server."

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"It allows for the storage of huge amounts of data.""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.""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 feature that we find most useful is the ability to do analytics on the fly.""I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution.""The processing of data is very fast.""The most valuable feature is the scalability, as it grows according to our needs.""It allows you write complex queries and perform row by row processes."

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Cons
"The ability to reset the log file without stopping the DBMS would be helpful for us."

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"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.""I would like to improve the pricing and the simplicity of using this solution.""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.""In our experiments, the handling of unstructured data was not very smooth.""Pricing is one of the things that it could improve. It should be more competitive.""Amazon Redshift does not have the capability to dynamically increase the VM file.""It lacks a few features which can be very useful, such as stored procedures""The explain panel in the Redshift database could be better."

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Pricing and Cost Advice
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  • "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 →

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    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.
    Ranking
    22nd
    out of 34 in Data Warehouse
    Views
    409
    Comparisons
    218
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    Views
    8,203
    Comparisons
    6,066
    Reviews
    23
    Average Words per Review
    480
    Rating
    7.7
    Comparisons
    Also Known As
    Ingres, Ingres 2006
    Learn More
    Overview

    Actian’s Ingres is a leading, enterprise-grade database management system designed to reduce IT costs and time-to-value, while delivering the strength and features expected from an enterprise-class database. Ingres 10.2 is the latest version of the database, containing enhancements that will make it easier to internationalize customer applications. Along with improved performance and reduced configuration overhead, users can take their first steps into big data analytics with the new Window functions.

    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

    Sample Customers
    Groupe Adeo, IsCool Entertainment
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company23%
    Manufacturing Company12%
    Government10%
    Financial Services Firm9%
    REVIEWERS
    Computer Software Company32%
    Comms Service Provider14%
    Manufacturing Company11%
    Retailer11%
    VISITORS READING REVIEWS
    Educational Organization50%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    Company Size
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise19%
    Large Enterprise53%
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    Buyer's Guide
    Data Warehouse
    April 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
    768,886 professionals have used our research since 2012.

    Actian Ingres is ranked 22nd in Data Warehouse while Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews. Actian Ingres is rated 9.0, while Amazon Redshift is rated 7.8. The top reviewer of Actian Ingres writes "Good multi-platform SQL compatibility, as well as performance and data integrity". On the other hand, 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". Actian Ingres is most compared with Snowflake, Oracle Database Appliance, Databricks and Teradata, whereas Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Microsoft Azure Synapse Analytics.

    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.