get-convex/convex-backend

Features

• Real-time Databases - Offers a real-time reactive database that synchronizes state via WebSockets with ACID transactions and schema validation.
• WebSocket Synchronization - Synchronizes database state with client interfaces in real time using persistent WebSocket connections.
• ACID Transactional Cores - Implements a database engine providing atomic, isolated, and consistent transaction processing for backend functions.
• Atomic Transaction Models - Ensures concurrency control and data integrity during document updates using ACID-compliant transactions.
• Data Schema Definitions - Enforces data integrity and consistent typing across the application through declarative document schemas.
• Atomic Transactions - Executes backend functions as atomic transactions that automatically retry on conflicts to ensure data consistency.
• Document Schema Enforcement - Enforces data integrity by validating JSON documents against predefined schemas before database commitment.
• Document-Relational Databases - Manages nested objects and relational references using a relational model for high data reliability.
• Real-time Data Synchronization - Synchronizes database state with the client in real time, ensuring user interfaces update automatically as data changes.
• Serverless Execution Environments - Provides a strongly consistent, serverless runtime environment for executing business logic and database queries.
• Deterministic Runtimes - Executes business logic in a controlled, deterministic environment where side effects are isolated from database operations.
• Serverless Databases - Provides a serverless database environment for storing relational JSON documents with ACID-compliant transactions.
• Serverless Platforms - Functions as a comprehensive serverless platform providing functions, a document database, and state synchronization.
• AI Agent Frameworks - Provides a framework for building conversational agents with tool calling, streaming responses, and human-in-the-loop approvals.
• AI Agent Orchestration Frameworks - Supports building conversational agents that utilize large language models with tool calling and streaming responses.
• File Storage and Metadata Management - Provides capabilities to upload, manage, and serve files of any type while maintaining associated metadata.
• Vector Semantic Indices - Stores and queries document embeddings using vector indexing for semantic similarity search.
• Vector Databases - Provides a specialized storage solution for performing semantic and full-text search using vector embeddings.
• Vector Search - Executes search queries over database documents using embeddings to find semantically similar content.
• Cron Scheduling - Triggers backend functions at specific future times or recurring intervals using a managed cron scheduling engine.
• External Service Integrations - Enables the execution of business logic and side effects through integrations with third-party APIs.
• Side-Effect Action Bridges - Provides asynchronous action bridges to perform side effects and network requests to third-party APIs.
• Task Schedulers - Triggers backend functions at specific future times or recurring intervals using a managed scheduling engine.
• Self-Hosted Infrastructure - Enables running the database and core platform components on private infrastructure using containers or binaries.
• Identity Provider Integrations - Integrates with external authentication services using standard protocols to verify user identities.
• User Identity Management - Manages user identities and protects backend functions through integration with identity services.
• Public HTTP Endpoints - Allows the creation of public or authenticated HTTP endpoints to execute backend functions via standard web requests.
• Database Management - Official integration for Convex database introspection and queries.

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