Search Results for "hypersql database engine"

stripe-sync-engine is a tool by Supabase that continuously syncs Stripe data into a Postgres database using webhooks. It ensures that billing-related Stripe objects like customers, subscriptions, and invoices are always up to date in your local database. This makes it easy to run analytics, reporting, or custom business logic using SQL without hitting Stripe’s API repeatedly.

TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support.

Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Frontend for Home Assistant. This is the repository for the official Home Assistant frontend. Once you have integrated all your devices at home, you can unleash Home Assistant’s advanced automation engine to make your home work for you. Home Assistant integrates with over a thousand different devices and...

A fast, low memory, transactional, index & query enabled NoSQL database engine and server for node.js and browser with real-time data change notifications. Supports storing of JSON objects, arrays, numbers, strings, booleans, dates, begins, and binary (ArrayBuffer) data. Inspired by (and largely compatible with) the Firebase real-time database, with additional functionality and less data sharding/duplication.

...Backlight brackets. The list of functions is loaded based on the capabilities of the server. Displays which query is running. Display the number of tables at the database. The icon of the table depends on its engine. List of fields in the table and inserting the field when clicking in the editor. DB selection via double click in the tree, pop-up window about selection. Search in the tree of objects, filtering the tree. Rebuilding the list of databases / tables after the query is executed. Table with information about completed requests at the end of the list / Requests in the tab are logged for performance comparison.