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Python ETL: What it is & Top 8 Python ETL tools
Python ETL – What it is & top Python ETL tools Table of Contents Python ETL Made Simple Python has become the “de facto” language for ETL (Extract, Transform, Load) workflows due to its simplicity
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SaaS companies, ISVs and consultants increasingly work with data on behalf of their customers.
For example as a SaaS software company, you need to implement data integrations between your SaaS platform and other SaaS products, or you need to onboard external data in your customer tenants. Similarly, as a consultant you need to combine data from multiple sources on behalf of your end-customers, to get to insights.
In each of these data use cases, you need to perform similar steps:
In order to implement these data flows in an efficient manner, you need a whitelabel data platform that brings together the required building blocks. A data warehouse is an important component to centralise your end-customer data, but that is not sufficient. You need connectivity to sources (ETL) and targets (reverse ETL), you need to be able to implement transformations using SQL, low-code scripting or a no-code visual editor, and you need to implement your data delivery.
Data delivery comprises a wide range of use cases such as BI dashboards, API endpoints (data products), alerts, custom reports in emails, getting a prediction from a machine learning model (ML/AI) or writing data to a SaaS destination. Data delivery is implemented using low-code scripts or no-code visual workflows, also called iPaaS workflows.
A whitelabel data platform brings all these building blocks together in one integrated platform, so that new data flows can be implemented quickly using low-code and no-code interfaces.
At some point your end-customer will have to interact with your data solutions. Perhaps it’s just a one-time interaction to provide credentials to a source (e.g. Salesforce, Hubspot etc.) or maybe you want to embed a market place inside your own SaaS platform to allow self-service activation of data integrations. As a consultant you might want to deliver dashboards with insights, send out regular reports in PDF or Excel, or maybe you want to enable your end-customers with an easy UI to perform self-service data analytics.
A whitelabel platform allows you to deliver these services under your own brand. And there’s more, a whitelabel platform provides the APIs to embed features into your own SaaS tool, for a seamless onboarding experience. A whitelabel platform allows you to provision data solutions at scale for your end-customers, in a multi-tenant secured and isolated cloud environment. Finally, you can turn your implementations into templates and package these templates for easy activation by end-customers.
A whitelabel data platform is used by ISVs, SaaS companies, consultants and service providers to deliver a wide range of data solutions to their end-customers:
A whitelabel all-in-one data platform has substantial benefits compared to building a solution using multiple separate tools:
Peliqan.io is the leading whitelabel data platform for SaaS companies, consultants and service providers. Try Peliqan.io now for free or request a demo: https://peliqan.io.
Niko Nelissen is the founder of Peliqan. Before Peliqan, Niko founded Blendr.io, a no-code iPaaS integration platform. Blendr.io was acquired by Qlik in 2020 and Niko became Senior Director of Product Management for Automation at Qlik. Niko’s primary interest is in the modern data stack, ML/AI as well as SaaS software in general and building disruptive technology.
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