Supported Connectors

We are continuously adding support for new connectors. Contact us if you have a request.


Google Analytics

Google’s web analytics platform collects data from website sessions for the analysis of users, their behaviours and where they’ve come from, providing valuable insights for improving business strategy, and measuring ROI from advertising, social networks and other applications. Google Analytics reports are relied by teams of many disciplines, easily integrated with other tools and platforms.

Google Sheets

An alternative to traditional spreadsheet applications, Google’s cloud-based platform allows users to collaborate in the organising, formatting, and evaluation of structured data. Google sheets is well supported and well used, bridging teams and their data world-wide.

Google BigQuery

A fully managed web service enables scalable analysis over petabytes of structured data. It is a serverless data warehouse allowing users to run queries for truly massive datasets.

Google Cloud SQL

Cloud-based fully managed database service makes it easy to set up, maintain, and administer a relational database on the Google Cloud Platform. It provides secure, scalable, reliable infrastructure.


AWS Simple Storage Service (S3)

Designed to store and retrieve data from anywhere on the web, Amazon’s Simple Storage Service (S3) provides a fast, robust and scalable, platform, allowing users to store structured data or objects such as applications and is particularly suited to data lake and big data analytics usage. A standard for cloud-based storage S3 is amongst the most widely used cloud products ever built.

AWS DynamoDB

A cloud-based fully managed serverless database system for NoSQL, unstructured data. This platform is commonly used for mobile, web, gaming, IoT and other applications where low-latency access at scale is required and today supports some of the world’s most extensive business applications.

AWS RDS / Aurora

A cloud-based relational database service from Amazon providing instances of MySQL, PostgreSQL, MariaDB, Oracle Database and more. Easy to set up, operate and scale RDS has become an industry standard for SQL database management.

AWS Redshift

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price performance at any scale.


Azure MySQL

A fully managed MySQL database service on Microsoft Cloud supporting multiple programming languages and AI-powered database optimisation features.

Azure PostgreSQL

A fully managed PostgreSQL database service on Microsoft Cloud supporting multiple programming languages and AI-powered database optimisation features.

Azure MariaDB

A fully managed MariaDB database service on Microsoft cloud supporting multiple programming languages and AI-powered database optimisation features.

Azure SQL

Azure SQL Cloud



The most popular, open-source database management system that allows the operating of relational database. MySQL databases are used world-wide for storing and manipulating structured data in tables and determining the relationship between them.


An advanced open-source, object-relational database management system supporting relational and non-relational querying. It is widely used as a primary data store for complex applications.


An open-source relational database management system with a rich ecosystem of tools and plugins. MariaDB allows users to run SQL and NoSQL in a single database system and has significant replication performance over MySQL.

Heroku PostgreSQL

A fully managed PostgreSQL database service based on Heroku, a container-based cloud platform used for development, deployment and scaling applications.

Microsoft SQL Server