Build intelligent no-code applications that automate workflows and connect data across the Google Cloud ecosystem.
AppSheet, now a core component of Google Cloud's developer suite, has evolved by 2026 into a sophisticated 'intelligent-metadata' driven platform. Unlike traditional low-code tools that require drag-and-drop UI builders, AppSheet utilizes a declarative approach where the data structure defines the application logic. By 2026, it has deeply integrated Gemini 1.5 Pro and Flash models, allowing users to build complex logic, automation workflows, and UI views using natural language prompts. The architecture remains decoupled from the data source, supporting a variety of backends including Google Sheets, Excel 365, BigQuery, and SQL databases. Its 2026 market position is defined by 'Citizen Developer Governance,' offering IT departments centralized control while empowering non-technical staff to solve hyper-local business problems. Significant advancements in offline-first synchronization and edge processing make it the primary choice for industrial field operations and logistics. The platform now supports high-fidelity document AI for automated data extraction and features a native bridge to Google Vertex AI, enabling the deployment of custom machine learning models directly within mobile and web interfaces without writing a single line of code.
LLM-driven development where natural language prompts are converted into table schemas and UI components.
Architecting enterprise-grade SQL applications through natural language and Gemini-led intelligence.
A composable no-code platform to automate workflows and CRM with maximum freedom.
The AI-powered software assembly line for building apps faster and more reliably.
Democratizing mobile app development through intuitive block-based programming and integrated AI.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Integrated Optical Character Recognition that identifies and extracts structured data from invoices, IDs, and forms.
On-device ML models that predict outcomes based on historical data patterns stored in the app.
A metadata layer that dynamically alters user interface based on user roles and real-time data state.
Centralized IT console for managing app deployments, data policy compliance, and user activity.
Direct execution of Google Apps Script functions from AppSheet automation triggers.
Location-aware triggers that fire automations or filter data based on GPS proximity.
Engineers in remote mines need to record data without internet and sync photos later.
Registry Updated:2/7/2026
App auto-syncs to BigQuery when Wi-Fi is detected.
Manual entry of supplier invoices leads to errors and slow payment cycles.
Retail staff lose track of stock levels between front-of-house and warehouse.