LogFire Cloud Warehouse Management System (WMS) was acquired by Oracle in September 2016 and is now offered as Oracle Warehouse Management Cloud.
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PostgreSQL
Score 8.7 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.
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.
Manage a lot of information - we manage 600+ stores of various sizes with millions of products across them to manage. Oracle Warehouse Management cloud is able to handle all our data.
It has a lot of parametrization inside - when we add a new store, we are able to do so easily, no matter its size.
It's flexible - adding new information, stores, or changing information is easy to do.
It's scalable - again, as we add or change stores, we are able to do so with this software.
We can enter manual entries into Oracle Warehouse Management Cloud and all manual entries do not have proper control.
It performs slow when it must extract the data in large amounts.
Oracle Warehouse Management Cloud doesn’t maintain sales return entries because it’s not an order management system. In order to use this feature, we need to configure or deploy another solution, which is Order Management System. We cannot consider it as a demerit of Oracle Warehouse Management Cloud but for a single feature, we cannot deploy another module. .
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.
We are using these services in our warehouses for managing all our inventory and warehouses for almost 11 years now. With the help of this tool, we were able to track our inventory status more accurately and get a timely update if the inventory is low. It is highly flexible you can easily add new product information or change some information. The interface is very easy to use
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.