Data Virtuality Platform vs. PostgreSQL

Data Virtuality Platform's best and most unique feature is
that it is SQL-based, giving us flexibility when working with our data that
other marketing integration pipeline tools couldn't provide. Our main benefits
are the short time it takes to connect to our data sources and the flexibility
of the virtual SQL layer to meet our end users' data needs. It paves the way
for us to tap into various data repositories, extract the data contained
within, and examine it. It allows us to access information, generate actionable
reports, and make data-driven decisions. However, inadequate data governance
rules and a complex configuration process make data connectors challenging.

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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.

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• ETL/ELT model building is flexible.
• The pipes' setup and use are intuitive.
• It lets us access various data sources, extract, and analyze data.

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• It works well with external data sources and runs on platforms with stable performance.
• Clients can rest assured that their personal information will be safe and secure.
• Many forums discuss setup and usage, and most are free.
• Adding tooling applications to a computer is unlimited.
• PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.

• Configuring data connectors can be tricky.
• Price could be more flexible and adapt to the use case.
• The ETL builder's user interface could be prettier.

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• Clearer indications on what is the query plan, to optimize the query
• More out of the box, Postgres specific, SQL functions
• It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used

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As a needed software for day to day development activities

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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.

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PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.

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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.

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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.

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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.

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The online documentation of the PostgreSQL product is elaborate and takes users step by step.

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Data Virtuality Platform has powerful transformation and
scheduling capabilities combined with the best support team. A virtual data
layer that supports SQL procedures is a game changer. Data Virtuality has made
data management more efficient. It lets us access various data sources, extract,
and analyze data. The short time it takes to connect to our data sources and
the flexibility of the virtual SQL layer allows us to meet our end users' data
needs.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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.

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The DB is reliable, scalable, easy to use and resolves most DB needs

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• It has the capability of integrating data from a variety of different sources.
• It improved development and user interface to offer a robust MDM repository and strategy.
• It offers a comprehensive solution for processing and retrieving data, which is one of the ways it assists.

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• 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.
• It's free. You can't beat that.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info