G Suite offers a set of tools that can help different technical roles build and extend solutions without starting from scratch:

• Data Analysts can use Connected Sheets for BigQuery to analyze large datasets directly in Google Sheets. This lets them work with big data using familiar spreadsheet workflows while tapping into BigQuery’s scale.
• Data Scientists can connect their models and data pipelines to G Suite using tools like JDBC (SQL database connector) and AutoML. For example, they can pull data from SQL databases into Sheets or use AutoML models as part of a broader workflow.
• Task Automaters can streamline repetitive work by building workflows that tie together Gmail, Sheets, Docs, and more. They can also use Hangouts (Chat) chatbots to trigger actions or surface information directly in chat.
• Programmers can build full applications that integrate with G Suite using the G Suite developers page resources and APIs. This includes working with the Directory API to manage users and groups, or building custom integrations that connect G Suite with other systems.

Across these roles, G Suite helps teams reimagine how everyday tools like email, spreadsheets, and chat can become part of larger, integrated solutions.

G Suite provides a range of tools and resources to help you build and integrate applications:

• Product offerings summary – A central page that outlines the main G Suite products and how they fit together, helping you decide which tools to use for your use case.
• G Suite developers page – A hub for documentation, SDKs, and APIs that you can use to integrate your apps with Gmail, Drive, Calendar, and more.
• Directory API – Lets you programmatically manage users, groups, and organizational units, which is useful for automating admin tasks or syncing identity data with other systems.
• JDBC (SQL database connector) – Enables connections from G Suite tools (such as Apps Script-based solutions) to SQL databases, so you can read and write data between your databases and G Suite.
• Hangouts chatbots – Allow you to build bots that live in chat, respond to commands, and integrate with external services, helping teams interact with systems from within their messaging environment.
• Codelabs – Step-by-step, hands-on tutorials that walk you through building specific G Suite integrations and prototypes, making it easier to learn by doing.

Together, these tools help teams reshape how they connect internal systems, automate workflows, and surface data inside G Suite.

G Suite includes and connects to several tools that support data-centric and ML-driven work:

• Connected Sheets (BigQuery) – Lets you analyze large datasets stored in BigQuery directly from Google Sheets. This is useful when you want spreadsheet-style analysis while working with data at scale.
• Mapping locations from a sheet – You can take location data stored in Sheets and map it, helping you visualize geographic patterns or share location-based insights with stakeholders.
• AutoML – Integrates machine learning into your workflows. You can train custom models (for example, for classification or prediction) and then connect the results back into G Suite tools such as Sheets or custom apps.
• JDBC (SQL database connector) – Helps you bridge data between SQL databases and G Suite, so you can pull operational data into Sheets for analysis or push processed results back into your databases.

By combining these capabilities, teams can rethink how they collect, analyze, and present data—using familiar G Suite interfaces while tapping into cloud-scale analytics and machine learning.