Ojoswi's review of PostgrSQL Suite
Ojoswi Basu | TrustRadius Reviewer
April 22, 2016

Ojoswi's review of PostgrSQL Suite

Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with PostgreSQL

PostGre SQL is the relational data source for our Tableau Data. It holds data ETL-ed from MQ Listener via SSIS. This application houses all the patient and long term care facility details in a normalized relation data model. Tableau connects to Postgres and joins/massages the data to produce business consumable reports.
  • Edit data after View
  • Instantaneous access and update for Tableau extracts hooked to this data source
  • Simple syntax for DDL
  • The Data layer for Tableau is being met and reports can be produced quickly at a summarized level
Oracle: Ideally suited for a large enterprise. Expensive product.
MS Access: Scalable for medium to small businesses
DB2: Needs expertise to implement in an organization
Postgre SQL is well suited well in a POC and quick turn around time development activities. It is not suited to hold a dimensional data model in star or snowflake schema.

Using PostgreSQL

30 - DDL/DML
Joins on Tableau VizQL for Data Visualization
3 - Build And Integration team takes care of the Data Server
  • Data Layer for Analytics
  • Expand the Data Repository to other Verticals within the company
As a needed software for day to day development activities

Evaluating PostgreSQL and Competitors

  • Price
  • Product Usability
  • Third-party Reviews
  1. Product usability in the space of an Open Source-based Enterprise DB
  2. The price point for an Open-Source product is minimal, where the cost incurred is for developers working with the tool
We would want to continue using PostgreSQL for the sheer completeness of the product as to how it meets project and enterprise needs.

PostgreSQL Implementation

The online documentation of the PostgreSQL product is elaborate and takes users step by step.
Change management was minimal - Since our organization is a privately owned product company in EHR long term health care, we started out with defined goals and milestones. We had a vision of leveraging open-source products from the get go. PostgreSQL was a natural choice to house analytics data in this DB.
  • There was some in-house learning curve that had to be met and
  • in-house training of debelopers

PostgreSQL Training

  • Online training
  • Self-taught
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.
Yes, I would strongly recommend to teams looking for an open-source EDB solution. Yes, this product is easy to learn for folks who have basic idea of PL/SQL. Yes, this product can be learned by non-technical folks with the help of product documentation and online help artifacts. With examples and code snippets, the online documentation is a great starting point.

PostgreSQL Support

Easy, quick, to the point support
ProsCons
Quick Resolution
Good followup
Knowledgeable team
Problems get solved
Kept well informed
No escalation required
Immediate help available
Support understands my problem
Support cares about my success
Quick Initial Response
None
No - It is an in-house trained team that supports softwares

Using PostgreSQL

There are a few areas of improvement
ProsCons
Like to use
Relatively simple
Easy to use
Well integrated
Consistent
Quick to learn
Convenient
Feel confident using
Familiar
None
  • Group DDL Functions on the Schema
  • Snowflake Schema

PostgreSQL Reliability

The DB is reliable, scalable, easy to use and resolves most DB needs
PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
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.