Official MonkDB TS/JS SDK

Welcome to the official TypeScript SDK for MonkDB, an AI-native database designed to handle diverse data workloads seamlessly. This SDK empowers developers to interact with MonkDB using TypeScript, leveraging its robust features for modern application development.​

Note:

The @monkdb/monkdb TS/JS SDK, which is authored using modern ESM (ECMAScript Modules), fully supports both JavaScript and TypeScript environments, provided the runtime supports ESM.

✅ @monkdb/monkdb SDK Compatibility and Usage Guide

🔧 Module System:

The SDK is authored and published as an ES Module (ESM).

• ✅ Works seamlessly in TypeScript projects.
• ✅ Fully usable in JavaScript (ESM) projects.
• ⚠️ Not directly compatible with legacy CommonJS (require()) environments unless transpiled or imported via dynamic import (await import()).

📦 Package Details:

• Package: @monkdb/monkdb
• Version: 0.1.6 (latest as of now)
• Module Type: ESM
• Types: Bundled TypeScript type declarations (.d.ts)

💻 Node.js Version Support

To use the SDK without any issues, make sure you're using a Node.js version that natively supports ESM and modern TypeScript features.

Node.js Version	ESM Support	@monkdb/monkdb SDK Compatibility
>=14.13.0	✅ Experimental ESM support with flags or .mjs	⚠️ Works with caveats (not recommended)
>=16.0.0	✅ Stable ESM support	✅ Fully compatible
>=18.0.0	✅ Stable + LTS	✅ Recommended
>=20.0.0	✅ LTS + Modern runtime features	✅ Fully supported
>=21.x.x	✅ Latest features, top-tier performance	✅ Fully supported
<=14.x	⛔ ESM not fully supported	❌ Not compatible

• ✅ Recommended Node.js version: 18.x or newer
• ⚠️ Minimum working version: 14.13.0 (with "type": "module" and/or .mjs extensions)
• ❌ Not supported: Node <=14.x, legacy CommonJS-only environments

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🚀 Features

• 🕒 Time Series Data: Efficiently store and analyze time-series data, enabling applications to process and query time-stamped information with ease.​

• 🧠 Vector Data Integration: Manage and query vector data, facilitating operations like similarity searches and machine learning model integrations.​

• 🔍 Full-Text Search: Perform comprehensive text searches across your datasets, enhancing the retrieval of relevant information through advanced indexing and querying capabilities.​

• 🌍 Geospatial Queries: Execute complex geospatial queries to handle location-based data, supporting applications that require spatial analysis and mapping functionalities.​

• 📦 Blob Storage: Store and retrieve binary large objects (BLOBs), allowing for the management of multimedia files, documents, and other large data types within the database.​

• 📄 Document Store with SQL Interface: Combine the flexibility of a document store with the power of SQL, providing a PGWire-compatible SQL interface for structured querying of unstructured data.

• 🚀 Streaming SQL- Run realtime/streaming data workloads to perform petabyte scale SQL analytics (realtime).

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📦 Installation

To install the MonkDB's TypeScript SDK, use npm or yarn:

npm install @monkdb/monkdb

or

yarn add @monkdb/monkdb

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🧪 Usage

Typescript Usage Example

Here's a basic example of how to establish a connection to MonkDB and execute queries using the SDK:

// index.ts
import { MonkConnection } from '@monkdb/monkdb';

const connection = new MonkConnection({
  servers: ['http://127.0.0.1:4200'],
  username: 'your_username',
  password: 'your_password',
});

const cursor = connection.cursor();

async function runQuery() {
  await cursor.execute('SELECT * FROM your_table');
  const results = cursor.fetchall();
  console.log(results);
}

runQuery().catch(console.error).finally(() => {
  cursor.close();
  connection.close();
});

No special setup is needed beyond tsconfig.json with "module": "ES2020" or higher.

JavaScript Usage Example

Here's a basic example of how to establish a connection to MonkDB and execute queries using the SDK:

// index.js
import { MonkConnection } from '@monkdb/monkdb';

const conn = new MonkConnection({
  servers: ['http://localhost:4200'],
  username: 'monk',
  password: 'monk',
  schema: 'doc',
});

const cursor = conn.cursor();

await cursor.execute('SELECT * FROM my_table');
const rows = cursor.fetchall();

console.log(rows);

cursor.close();
conn.close();

Ensure your package.json contains:

"type": "module"

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📚 Documentation

Visit our tech documentation on how to execute use cases on MonkDB.

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Examples

To get a feel of MonkDB using TS/JS, please follow the instructions available in this README file.

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📜 License

This project is licensed under the Apache-2.0 License.

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🤝 Support

For enterprise support or any inquiries, please contact us at 📧 support@monkdb.com.

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