4 Repos
Systems that trigger data requests automatically based on state changes or dependency updates.
Distinguishing note: Focuses on the automation of query execution rather than manual triggering.
Explore 4 awesome GitHub repositories matching data & databases · Automatic Query Execution Engines. Refine with filters or upvote what's useful.
Appsmith is a low-code platform designed for building internal business tools, such as operational dashboards and administrative panels. It enables developers to construct dynamic user interfaces by dragging and dropping modular widgets onto a canvas and binding them directly to backend data sources. The platform utilizes a reactive framework that automatically updates interface elements and triggers functions whenever underlying data or widget properties change, eliminating the need for manual event handling. The platform distinguishes itself through a server-side proxy architecture that exe
Re-executes queries whenever dependent widget properties or JavaScript variables change to keep the user interface responsive.
Apollo Client is a GraphQL client library and data fetching framework used to request data from a GraphQL server and synchronize that state within a frontend application. It functions as a remote state manager and a local state management tool, allowing developers to define client-side schemas and resolvers for data that does not reside on a remote server. The project features a normalized GraphQL cache that identifies objects by ID to ensure referential equality and consistent data updates across different queries. It also includes a GraphQL API mocking tool to simulate server responses and
Automatically triggers query refetching in response to system events like window focus or network reconnection.
pgcli is an interactive command-line interface and database management tool for PostgreSQL. It functions as an interactive SQL shell and query editor that allows users to inspect schemas, manage connections, and run queries against PostgreSQL data sources. The tool is distinguished by its real-time, schema-aware autocompletion for keywords, tables, and columns, as well as dynamic SQL syntax highlighting. It provides safety mechanisms through transaction-aware guardrails that warn against or block destructive statements when no active transaction is detected. Broad capabilities include secure
Executes specific SQL commands on a fixed interval to monitor data changes automatically.
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
Automates the execution of complex queries in parallel to ensure fast performance without manual capacity planning.