PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.
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Pricing
Amazon QuickSight
PostgreSQL
Editions & Modules
Reader
$3
per month per user
Author
$24
per month per user
Reader Pro
$24
per month per user
Author Pro
$50
per month per user
No answers on this topic
Offerings
Pricing Offerings
Amazon QuickSight
PostgreSQL
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Prospective buyers can also purchase a set number of sessions or questions in lieu of a monthly subscription.
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More Pricing Information
Community Pulse
Amazon QuickSight
PostgreSQL
Features
Amazon QuickSight
PostgreSQL
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Amazon QuickSight
10.0
6 Ratings
20% above category average
PostgreSQL
-
Ratings
Pixel Perfect reports
10.05 Ratings
00 Ratings
Customizable dashboards
10.06 Ratings
00 Ratings
Report Formatting Templates
10.06 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Amazon QuickSight
10.0
6 Ratings
22% above category average
PostgreSQL
-
Ratings
Drill-down analysis
10.06 Ratings
00 Ratings
Formatting capabilities
10.06 Ratings
00 Ratings
Integration with R or other statistical packages
10.04 Ratings
00 Ratings
Report sharing and collaboration
10.06 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Amazon QuickSight
8.4
6 Ratings
2% above category average
PostgreSQL
-
Ratings
Publish to Web
8.03 Ratings
00 Ratings
Publish to PDF
10.03 Ratings
00 Ratings
Report Versioning
10.05 Ratings
00 Ratings
Report Delivery Scheduling
7.04 Ratings
00 Ratings
Delivery to Remote Servers
7.03 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Amazon Quicksight is a truly cloud-based solution so it works perfectly fine and saves a lot of expense in terms of hardware and maintenance. We can maintain it by ourselves by giving commands on UI. If you have connectivity issues then it can cause headaches because it's a cloud platform and it's a bit costly as compared to other services
PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
It was helping us a lot as per our business needs. Reporting is way easy with QuickSight that helps us to understand the performance of campaigns effectively and so does the performance of sales individual. We can analyze the data and create a new strategies effectively. Setup and maintenance was way easy
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
All of the other reporting platforms my organization has used previously were within our CRM and not a standalone program. In that we were very limited in being able to slice and dice the data the way that we wanted to
Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.