Our Modern Data Platforms series

Our Modern Data Platforms series

As part of our series into Modern Data Platforms, we will be overviewing the main Data Services, Platforms and Providers that we use. 

Our aim is to give an unbiased summary of each, and share what our clients like about them. This should help business owners, technology leaders and data professionals get a better understanding of which services will best suit their needs.

The Main Data Platforms We Work With:


Snowflake is a data warehouse built on top of the Amazon Web Services or Microsoft Azure cloud infrastructure.

It has a range of uses, and is ideal for clients looking to scale their data operations.

Data Bricks

Azure Databricks is a platform optimised for the Microsoft Azure cloud services platform. 

Azure Databricks is ideal for developing data intensive applications: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning.

Google Cloud Platform

Google Cloud is a suite of cloud computing services. The platform provides a web-based, graphical user interface that you can use to manage your Google Cloud projects and resources.

It is used by a wide variety of businesses looking to advance their data storage and management capabilities.


Amazon Web Services is an on-demand cloud computing platform and API service that provides scalable and cost-effective cloud computing solutions.

It is considered one of the easiest platforms to use, and is ideal for those looking to scale operations while working on a pay-as-you-go service.


Azure Synapse Analytics is Microsoft’s cloud analytics platform that combines all of your data into one integrated platform.

The platform integrates nicely with Power BI to offer data insights, visualisation and dashboarding capabilities. 

Synapse is the first service that we’ll be looking into more closely, so keep your eyes peeled as we dig into the benefits of Synapse.

Plus, if you have any feedback you’d like to give on any of these platforms, feel free to reach out on LinkedIn.