Amazon Redshift Reviews

The most valuable features of this product are:

• Processing huge data in petabytes
• Massively Parallel Processing (MPP)
• Concept of data compression
• The way it stores the data in drives especially with the distribution key
• Supports BI tools like MicroStrategy (MSTR) and Tableau
• Supports all the data warehouse core features such as SCD1 and SCD2, and different schemas like the star schema

It has helped us to understand the response and interest of the customers and the user conversion rate in this competitive world. Thus, it has helped us in the decision-making process.

In most of the scenarios, the data source for Redshift will be traditional RDBMS like MySQL, PostgreSQL, SQL server, etc. After migrating to Redshift, we will find few disconnects for w.r.t data types, the stored procedures and other complex functionalities. There is a need for improvement in these aspects, mainly in the scope of data types and some complex functionalities which we can perform in RDBMS.

I have used this solution for more than a year.

I have not encountered any issues with stability. In terms of performance, Redshift is highly stable.

I have not encountered any issues with scalability. We can easily scale the nodes in AWS only with a few clicks.

I would give the technical support a 6 out of 10 rating.

We have not used any other solution.

The setup was straightforward for those who know AWS.

The Redshift pricing policy is easy to understand.

We did not evaluate other options prior to selecting this solution.

As of now, Redshift is far better than the other products in the market.

Lastly, I would like to mention that Redshift is more about scaling and stabilizing your data. One should also focus on data modeling from time to time.

The most valuable features to us are: speed, DML, the fact that it is cloud-based, the management console, and Boto3.

Because we are dealing with a lot of data, speed is always important. Redshift is blistering fast when doing "deep" copies and inserts. Conceptually, my data-transformation pipelines are a series of proprietary "waves" that leverage Redshift's DML/"deep" copy/insert strengths. Doing all this in the cloud allows us to easily test alternatives. We create different sized Redshift clusters and orchestrate them by using the SDK (Python Boto3). We go beyond the traditional DWH to "infrastructure-as-software".

Redshift has helped to transform Makerbot into a data-driven company.

Integrating database security/access rights with AWS IAM would be great. I would also like to see more DML features that might aid in processing unstructured or log-file data. This would allow us to avoid having to use EMR/Hadoop.

We’ve used Amazon Redshift for 3 years.

We did not encounter any deployment issues.

We did not encounter any issues with stability.

We did not encounter any issues with scalability.

Customer Service:

I think the customer services is adequate.

Technical Support:

The level of technical support is good.

We tried prior solutions, but they had limited or no scalability/agility.

The initial setup was straightforward.

It took less than a year for the product to pay for itself.

Regarding pricing and licensing, I advise to start small and have your developers/DBA use table compression and partitioning from the start.

We have used different options over the last 20 years. We found AWS Redshift to be the leader in capability and provides an ecosystem of related services from AWS, many of which are free.

My advice to other is to prototype, prototype, prototype! Everything depends on your data and what you need to do to it. No two projects are the same.

We primarily use Amazon Redshift for data warehousing.

The user interface of Amazon Redshift is easy to use, even though we do not use it a lot. The stability has been great as I have not experienced any glitches. Scalability is also a strong point; I can scale it however I want without any limitations. However, pricing is a major disadvantage as it is expensive.

Pricing needs improvement as the solution is expensive.

We have been using Amazon Redshift for approximately two years.

Amazon Redshift is stable. I have not experienced or heard about any glitches.

Amazon Redshift is scalable with no limitations that I am aware of.

The pricing of Amazon Redshift is expensive.

I do not want to continue this call. I hope you have gotten input from me. I would rate Amazon Redshift a ten on a scale of one to ten.

Public Cloud

Amazon Web Services (AWS)