dbt vs. Price2Spy

The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

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It generates reports to be analyzed through diagrams and graphs that allow price differentiation on the product in real-time. It extracts IP addresses, e-mails, and images, since the platform does not limit its search to present elements, but also does it internally. It manages product data, price list data, profit margins against competitors, multi-channel communication, import/export data, sales data, customizable data, etc.

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• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

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• Monitor your competitors' prices and promotions in real time.
• Allows you to offer deep discounts on your products at a specific time of day, or when a competitor has an offer.
• Track the evolution of your competitors' prices over a period of time, and plan accordingly.

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• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

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• Being a low-cost system the company does not sell a complete package with all the applications that the organization needs.
• The packages are adapted to the demands of the client.
• The incorporation of products is limited, only 25 products can be uploaded.

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dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

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I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

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• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

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• Study and analysis of the product within the web (performance, behavior, demand, supply, etc.).
• Supervision, control, and monitoring of the product and the brand against the competition.
• Monitoring of sites (URLs) according to their internal position on the web.

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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