Beanstalk is a version control service offering Git and SVN hosting solution offered by Wildbit.
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PostgreSQL
Score 8.8 out of 10
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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
Beanstalk
PostgreSQL
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Beanstalk
PostgreSQL
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Beanstalk
PostgreSQL
Considered Both Products
Beanstalk
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PostgreSQL
Verified User
Engineer
Chose PostgreSQL
I am currently using MySQL and it is difficult to notice much of a difference at all. For free relational databases, there hasn't been enough for me to choose a clear winner. If you're already using a free solution, there would be no reason to change. In terms of comparing to a …
For business or personal applications, where you wish your code to remain private and/or proprietary, Beanstalk could be a good fit. If you are also interested in beginning to automate with relative ease, their tools can be a great help. Code reviews can also be a key factor in the decision, as they provide a good framework for accountability.
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.
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.
If you are creating open source applications, there is almost no reason not to use GitHub. If you do need private repositories (for proprietary or private, business or personal use), Bitbucket could be an excellent solution. Beanstalk's main advantages lie in the support (which is excellent), deployment tools, and code review features.
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.