What users are saying about
22 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 7.5 out of 100
Based on 22 reviews and ratings
Top Rated
147 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.2 out of 100
Based on 147 reviews and ratings
Likelihood to Recommend
Amazon QuickSight
I'm likely to recommend it because it would become so native if other cloud services are based on AWS infrastructure, like our current setup. It is very seamlessly integrated with other services to feed in data for the visualization. In addition, supporting a reasonably large number of users concurrently is not an issue and should be able to scale horizontally as needed.

Verified User
Director in Research & Development
Computer Software Company, 51-200 employeesAmazon Redshift
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Senior Business Intelligence Consultant
SermoResearch, 201-500 employees
Feature Rating Comparison
BI Standard Reporting
Amazon QuickSight
5.4
Amazon Redshift
—
Pixel Perfect reports
Amazon QuickSight
6.3
Amazon Redshift
—
Customizable dashboards
Amazon QuickSight
4.6
Amazon Redshift
—
Report Formatting Templates
Amazon QuickSight
5.3
Amazon Redshift
—
Ad-hoc Reporting
Amazon QuickSight
5.6
Amazon Redshift
—
Drill-down analysis
Amazon QuickSight
6.0
Amazon Redshift
—
Formatting capabilities
Amazon QuickSight
5.3
Amazon Redshift
—
Integration with R or other statistical packages
Amazon QuickSight
4.1
Amazon Redshift
—
Report sharing and collaboration
Amazon QuickSight
6.8
Amazon Redshift
—
Report Output and Scheduling
Amazon QuickSight
5.6
Amazon Redshift
—
Publish to Web
Amazon QuickSight
6.3
Amazon Redshift
—
Publish to PDF
Amazon QuickSight
5.7
Amazon Redshift
—
Report Versioning
Amazon QuickSight
4.7
Amazon Redshift
—
Report Delivery Scheduling
Amazon QuickSight
5.9
Amazon Redshift
—
Delivery to Remote Servers
Amazon QuickSight
5.4
Amazon Redshift
—
Data Discovery and Visualization
Amazon QuickSight
5.4
Amazon Redshift
—
Pre-built visualization formats (heatmaps, scatter plots etc.)
Amazon QuickSight
6.3
Amazon Redshift
—
Location Analytics / Geographic Visualization
Amazon QuickSight
6.7
Amazon Redshift
—
Predictive Analytics
Amazon QuickSight
3.1
Amazon Redshift
—
Access Control and Security
Amazon QuickSight
7.1
Amazon Redshift
—
Multi-User Support (named login)
Amazon QuickSight
6.8
Amazon Redshift
—
Role-Based Security Model
Amazon QuickSight
6.8
Amazon Redshift
—
Multiple Access Permission Levels (Create, Read, Delete)
Amazon QuickSight
7.0
Amazon Redshift
—
Single Sign-On (SSO)
Amazon QuickSight
8.0
Amazon Redshift
—
Mobile Capabilities
Amazon QuickSight
3.8
Amazon Redshift
—
Responsive Design for Web Access
Amazon QuickSight
4.0
Amazon Redshift
—
Dedicated iOS Application
Amazon QuickSight
3.1
Amazon Redshift
—
Dedicated Android Application
Amazon QuickSight
3.7
Amazon Redshift
—
Dashboard / Report / Visualization Interactivity on Mobile
Amazon QuickSight
4.5
Amazon Redshift
—
Application Program Interfaces (APIs) / Embedding
Amazon QuickSight
4.8
Amazon Redshift
—
REST API
Amazon QuickSight
5.3
Amazon Redshift
—
Javascript API
Amazon QuickSight
5.4
Amazon Redshift
—
iFrames
Amazon QuickSight
4.9
Amazon Redshift
—
Java API
Amazon QuickSight
5.3
Amazon Redshift
—
Themeable User Interface (UI)
Amazon QuickSight
4.4
Amazon Redshift
—
Customizable Platform (Open Source)
Amazon QuickSight
3.6
Amazon Redshift
—
Pros
Amazon QuickSight
- Lightweight and serverless BI tool that can be used for niche dashboards.
- Its integration into other AWS Services is one of its most appealing features.
- The low monthly cost is another benefit.

Verified User
Vice-President in Information Technology
Higher Education Company, 10,001+ employeesAmazon Redshift
- Redshift is fully managed. Small teams do not have the resources to maintain a cluster. CloudWatch metrics are provided out-of-the-box, and it is easy to configure alarms.
- Redshift's console allows you to easily inspect and manage queries, and manage the performance of the cluster.
- Redshift is ubiquitous; many products (e.g., ETL services) integrate with it out-of-the-box.
- Writing .csvs to S3 and querying them through Redshift Spectrum is convenient.
Data Scientist
Wonder (AskWonder.com)Research, 11-50 employees
Cons
Amazon QuickSight
- One of the primary challenges I've had with Amazon QuickSight so far is that some of the reports I want to build use data from different data sets. Instead of being able to put all of the information I want to see into one report.
- Some of our Amazon QuickSight reports only update every 24 hours. It would be great to see that data in real-time.
- I would remove the various time zones from Amazon QuickSight and only use the time zone we are in.
Marketing Director
LightRx Face & BodyConsumer Services, 201-500 employees
Amazon Redshift
- It could benefit from adding data integrity and programming tools common to other database management systems.
- Amazon Redshift is based on PostgreSQL 8.0.2. That version of PostgreSQL was released in December 2006. While PostgreSQL was much improved since then, the new features were not implemented in Redshift. Many basic features are missing from it.
- Primary keys can be declared but not enforced. Referential integrity (foreign keys) can be declared but not enforced. UNIQUE and CHECK constraints are not supported and cannot be declared.
- IDENTITY can be declared on a column, and Redshift will put unique values into it. However: IDENTITY values in the newly inserted rows won’t be incremental or sequential. To implement a sequential number, you need to write your own custom code.
- There are no stored procedures in Redshift. We are writing SQL script files, and then parsing and running them one statement at a time from a Python program. This also enabled us to implement execution-time error logging.
- In SQL scripts, to check for the row count of affected rows, a complicated join query against some system tables or views has to be executed.
- Data Control Language (DCL) does not exist. No statements like IF, WHILE, DO, RAISERROR, etc.
- On performance of views… Views do not “pass-through” a query parameter which is a potential problem for performance.
- When selecting against a view with the WHERE clause outside of the view, the inner query of the view will be executed first without consideration for the WHERE clause, and only then the WHERE clause will be applied.
- Certain clauses of SQL work many times faster than other clauses. So be careful and test your statements for performance earlier rather than later, especially if working with a large data set.
- There was a situation when DELETE FROM JOIN was unacceptably slow. Replacing JOIN with the USING clause made DELETE instantaneous.
Principal Data Architect
IntuitComputer Software, 5001-10,000 employees
Usability
Amazon QuickSight
No score
No answers yet
No answers on this topic
Amazon Redshift
Amazon Redshift 8.5
Based on 8 answers
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Senior Developer
American Board of Internal MedicineNon-Profit Organization Management, 201-500 employees
Support Rating
Amazon QuickSight
No score
No answers yet
No answers on this topic
Amazon Redshift
Amazon Redshift 7.9
Based on 7 answers
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support

Verified User
Engineer in Engineering
Financial Services Company, 5001-10,000 employeesAlternatives Considered
Amazon QuickSight
In our case, we are storing our large amount of data in the cloud so using QuickSight adds up to the performance of the reporting. We are using it as a secondary reporting tool so that a business user can generate their own report. We are using Tableau as our primary reporting tool.

Verified User
Consultant in Information Technology
Building Materials Company, 501-1000 employeesAmazon Redshift
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.

Verified User
Director in Engineering
Computer Software Company, 1001-5000 employeesReturn on Investment
Amazon QuickSight
No answers on this topic
Amazon Redshift
- Redshift has had a very positive impact on our business. It has been used to provide analytics on marketing campaigns to boost revenue.
- Redshift is instrumental in our payment collection business processes. It powers everything from who gets called to who gets sent collection emails.
Software Engineer
Stansberry ResearchPublishing, 51-200 employees
Pricing Details
Amazon QuickSight
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Amazon QuickSight Editions & Modules
Edition
Authors | $24.001 |
---|---|
Readers | $5.001 |
- Per Month
Additional Pricing Details
—Amazon Redshift
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Amazon Redshift Editions & Modules
Edition
Current Generation | $0.25 - $13.041 |
---|---|
Previous Generation | $0.25 - $4.081 |
Redshift Spectrum | $5.002 |
Redshift Managed Storage | $0.243 |
- per hour
- per terabyte of data scanned
- per GB per month