diff --git a/getting-started/aws-setup.md b/getting-started/aws-setup.md deleted file mode 100644 index 0f107ba..0000000 --- a/getting-started/aws-setup.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: AWS Setup -description: Deploy and manage DocumentDB alongside AWS for a hybrid database strategy. ---- - -# Multi-cloud with AWS DocumentDB - -Deploy and manage DocumentDB alongside AWS for a hybrid database strategy. - -## Important Note - -This guide covers deploying the open-source DocumentDB on AWS infrastructure. This is distinct from Amazon's DocumentDB service, which is a different product. While both support MongoDB compatibility, they are separate implementations with different features and capabilities. diff --git a/getting-started/azure-setup.md b/getting-started/azure-setup.md deleted file mode 100644 index 3960be9..0000000 --- a/getting-started/azure-setup.md +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: Azure Setup -description: Deploy and manage DocumentDB on Micrtosoft Azure for a fully managed experience. ---- - -# Multi-cloud with Azure - -Deploy and manage DocumentDB on Micrtosoft Azure for a fully managed experience. - -## Azure Integration Options - -1. Azure DocumentDB (recommended) - - Native DocumentDB integration - - Full MongoDB compatibility - - Azure-managed infrastructure - -2. Self-managed on Azure VMs - - Complete control over configuration - - Custom deployment options - - Manual management required - -## Setup diff --git a/getting-started/gcp-setup.md b/getting-started/gcp-setup.md deleted file mode 100644 index bfc619e..0000000 --- a/getting-started/gcp-setup.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: GCP Setup -description: Deploy and manage DocumentDB on Google Cloud Platform using various deployment options. ---- - -# Multi-cloud with GCP - -Deploy and manage DocumentDB on Google Cloud Platform using various deployment options. diff --git a/getting-started/mongo-shell-quickstart.md b/getting-started/mongo-shell-quickstart.md index 222c39f..046cc69 100644 --- a/getting-started/mongo-shell-quickstart.md +++ b/getting-started/mongo-shell-quickstart.md @@ -163,21 +163,26 @@ Each index above is on a distinct set of keys, which matters: when you don't pas Note also that a unique index is not sparse unless you say so. Documents that lack the indexed field are all treated as sharing a single "missing" value, so the second such document violates uniqueness. Add `sparse: true` when the field is optional. -To create a vector index on an embedding field, use the `cosmosSearchOptions` index spec accepted by the DocumentDB gateway: +To create a vector index on an embedding field, use `createIndexes` via `runCommand`. The +`cosmosSearchOptions` spec is not accepted through the `createIndex` helper, which fails with +`Index type 'CosmosSearch' was requested, but the 'cosmosSearch' options were not provided.` ```javascript -db.products.createIndex( - { embedding: "cosmosSearch" }, - { - name: "vectorIndex", - cosmosSearchOptions: { - kind: "vector-ivf", - numLists: 100, - similarity: "COS", - dimensions: 3 +db.runCommand({ + createIndexes: "products", + indexes: [ + { + name: "vectorIndex", + key: { embedding: "cosmosSearch" }, + cosmosSearchOptions: { + kind: "vector-ivf", + numLists: 100, + similarity: "COS", + dimensions: 3 + } } - } -) + ] +}) ``` `dimensions` must match the length of the vectors you store and query — a query vector of a different length is rejected. Three is used here only to keep the example short; a real embedding field is typically 384, 768, or 1536 wide, depending on the model. diff --git a/getting-started/mongodb-migration.md b/getting-started/mongodb-migration.md deleted file mode 100644 index 949e887..0000000 --- a/getting-started/mongodb-migration.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: MongoDB Migration Guide -description: This guide helps you migrate your existing MongoDB applications to DocumentDB while maintaining compatibility and leveraging PostgreSQL benefits. ---- - -# MongoDB to DocumentDB Migration Guide - -This guide helps you migrate your existing MongoDB applications to DocumentDB while maintaining compatibility and leveraging PostgreSQL benefits. - -## Overview - -DocumentDB provides full MongoDB wire protocol compatibility, making migration straightforward for most applications. This guide covers the migration process, considerations, and best practices for transitioning from MongoDB to DocumentDB. diff --git a/getting-started/nodejs-setup.md b/getting-started/nodejs-setup.md index 466285f..905781f 100644 --- a/getting-started/nodejs-setup.md +++ b/getting-started/nodejs-setup.md @@ -9,7 +9,7 @@ Learn how to set up and use DocumentDB with Node.js using the official MongoDB N ## Prerequisites -- Node.js 14.x or later +- Node.js 20.19 or later (required by the current `mongodb` driver) - npm or yarn package manager - DocumentDB installed and running - Docker installed (if set up is not completed yet) @@ -82,62 +82,36 @@ async function connect() { ``` 2. Document operations - - Insert operations - - Find operations - - Update operations - - Delete operations -## Working with Promises and Async/Await - -1. Promise-based operations -2. Async/await patterns -3. Error handling -4. Connection management - -## Advanced Features - -1. Bulk operations -2. Aggregation framework -3. Vector search -4. Geospatial queries -5. Change streams -6. Transactions - -## Error Handling - -1. Connection errors -2. Operation errors -3. Timeout handling -4. Retry strategies - -## Best Practices + ```javascript + const users = db.collection('users'); -1. Connection pooling -2. Query optimization -3. Bulk operations -4. Error handling -5. Security considerations + await users.insertOne({ name: 'John Doe', email: 'john@example.com', createdAt: new Date() }); + await users.insertMany([ + { name: 'Jane Smith', email: 'jane@example.com' }, + { name: 'Bob Johnson', email: 'bob@example.com' }, + ]); -## Sample Applications + await users.updateOne({ name: 'John Doe' }, { $set: { status: 'active' } }); + console.log(await users.findOne({ name: 'John Doe' })); + console.log(await users.countDocuments()); -1. Basic CRUD application -2. REST API with Express -3. Vector search example -4. Real-time applications with change streams + await users.deleteOne({ name: 'Bob Johnson' }); + ``` -## Testing + Always close the client when the process is done: -1. Setting up test environment -2. Unit testing with Jest/Mocha -3. Integration testing -4. Mock testing + ```javascript + await client.close(); + ``` -## Deployment +## Beyond CRUD -1. Development setup -2. Production considerations -3. Monitoring and logging -4. Performance optimization +Aggregation pipelines, vector search, geospatial queries and change streams use the +same syntax as the MongoDB shell. See the +[Mongo Shell Quick Start](https://documentdb.io/docs/getting-started/mongo-shell-quickstart/) +for worked examples, and the [API reference](https://documentdb.io/docs/api-reference/) +for the supported operator set. ## Next Steps diff --git a/getting-started/python-setup.md b/getting-started/python-setup.md index d46fbf1..f9eb5da 100644 --- a/getting-started/python-setup.md +++ b/getting-started/python-setup.md @@ -9,7 +9,7 @@ Learn how to set up and use DocumentDB with Python using the official MongoDB Py ## Prerequisites -- Python 3.7+ +- Python 3.9 or later (required by PyMongo 4.x) - pip package manager - DocumentDB installed and running (see [Pre-built Packages](https://documentdb.io/docs/getting-started/packages/)) - Docker (if DocumentDB is not set up yet) @@ -101,11 +101,13 @@ DocumentDB Local accepts TLS connections on the gateway port and requires authen 2. Document operations ```python + from datetime import datetime, timezone + # Insert a single document collection.insert_one({ 'name': 'John Doe', 'email': 'john@example.com', - 'created_at': datetime.utcnow() + 'created_at': datetime.now(timezone.utc) }) # Insert multiple documents @@ -145,12 +147,12 @@ DocumentDB Local accepts TLS connections on the gateway port and requires authen 2. DateTime ```python - from datetime import datetime + from datetime import datetime, timezone # Insert with timestamp collection.insert_one({ 'name': 'Event', - 'timestamp': datetime.utcnow() + 'timestamp': datetime.now(timezone.utc) }) ``` @@ -158,15 +160,13 @@ DocumentDB Local accepts TLS connections on the gateway port and requires authen 1. Bulk operations ```python - # Initialize bulk operations - bulk = collection.initialize_ordered_bulk_op() - - # Add operations - bulk.find({'status': 'pending'}).update({'$set': {'status': 'processed'}}) - bulk.find({'age': {'$lt': 18}}).delete() - - # Execute - result = bulk.execute() + from pymongo import UpdateMany, DeleteMany + + result = collection.bulk_write([ + UpdateMany({'status': 'pending'}, {'$set': {'status': 'processed'}}), + DeleteMany({'age': {'$lt': 18}}), + ]) + print(result.modified_count, result.deleted_count) ``` 2. Aggregation framework @@ -183,40 +183,33 @@ DocumentDB Local accepts TLS connections on the gateway port and requires authen ``` 3. Vector search - ```python - # Vector similarity search - results = collection.find({ - '$vectorSearch': { - 'queryVector': [0.1, 0.2, 0.3], - 'path': 'embeddings', - 'numCandidates': 100, - 'limit': 10 - } - }) - ``` -4. PostgreSQL Integration + `$vectorSearch` is an aggregation stage and must be the first stage in the + pipeline — it does not work inside `find()`. + ```python - # Access PostgreSQL features directly - from documentdb_api import DocumentDB - - # Initialize DocumentDB with PostgreSQL support - db = DocumentDB(client) - - # Execute SQL queries on BSON documents - result = db.sql_query( - "SELECT jsonb_path_query(data, '$.name') FROM collection WHERE data @? '$.age > 21'" - ) + results = collection.aggregate([ + { + '$vectorSearch': { + 'queryVector': [0.1, 0.2, 0.3], + 'path': 'embeddings', + 'numCandidates': 100, + 'limit': 10 + } + } + ]) ``` ## Error Handling 1. Connection errors ```python + from pymongo.errors import ConnectionFailure + try: client = pymongo.MongoClient(connection_string) client.admin.command('ping') - except pymongo.errors.ConnectionError as e: + except ConnectionFailure as e: print(f"Connection error: {e}") ``` @@ -250,9 +243,8 @@ DocumentDB Local accepts TLS connections on the gateway port and requires authen 3. Proper cleanup ```python - # Always close connections when done try: - # Your code here + collection.insert_one({'name': 'Example'}) finally: client.close() ``` diff --git a/getting-started/vscode-extension-guide.md b/getting-started/vscode-extension-guide.md index e6eaa71..f838da2 100644 --- a/getting-started/vscode-extension-guide.md +++ b/getting-started/vscode-extension-guide.md @@ -1,360 +1,16 @@ --- title: Visual Studio Code Extension Guide -description: The DocumentDB for VS Code extension is a powerful, open-source GUI that helps you browse, manage, and query DocumentDB and MongoDB databases across any cloud, hybrid, or local environment. +description: The DocumentDB for VS Code extension helps you browse, manage, and query DocumentDB and MongoDB databases from your editor. --- # DocumentDB for VS Code Extension -The [DocumentDB for VS Code extension](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-documentdb) is a powerful, open-source GUI that helps you browse, manage, and query DocumentDB and MongoDB databases across any cloud, hybrid, or local environment. +The canonical guide is the **[Visual Studio Code Quick Start](https://documentdb.io/docs/getting-started/vscode-quickstart/)** — start there to install the extension, connect to a local instance, and create your first collection. -## Overview +Install the extension from the [Visual Studio Marketplace](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-documentdb), or from the command line: -DocumentDB for VS Code provides a developer-centric experience with minimal setup, offering universal support for both DocumentDB and MongoDB databases. Whether you're working with cloud-based, hybrid cloud, on-premises, or local instances, this extension provides the tools you need for efficient database management. - -## Key Features - -### Universal DocumentDB and MongoDB Support - -- **Flexible Connections**: Use connection strings or browse your cloud providers -- **Cross-Platform Service Discovery**: Connect to DocumentDB and MongoDB instances hosted with your provider -- **Wide Compatibility**: Full support for all DocumentDB and MongoDB databases - -### Developer-Centric Experience - -- **Multiple Data Views**: Inspect collections using Table, Tree, or JSON layouts with built-in pagination -- **Query Editing**: Execute find queries with syntax highlighting, auto-completion, and field name suggestions -- **Document Management**: Create, edit, and delete documents directly from VS Code -- **Data Import/Export**: Quickly import JSON files or export documents, query results, or collections - -## Installation - -### Prerequisites - -- [Visual Studio Code](https://code.visualstudio.com/) installed -- [Docker Desktop](https://www.docker.com/products/docker-desktop) (for running local DocumentDB instances) -- Basic familiarity with document databases -- MongoDB Shell (optional, for advanced commands) - -### Installation Steps - -1. **Open VS Code** -2. **Navigate to Extensions** (Ctrl+Shift+X or Cmd+Shift+X) -3. **Search for "DocumentDB for VS Code"** -4. **Click Install** -5. **Reload VS Code** if prompted - -### Alternative Installation - -Use the command palette: -1. Open VS Code Quick Open (Ctrl+P) -2. Paste: `ext install ms-azuretools.vscode-documentdb` -3. Press Enter - -## Getting Started - -1. **Start a local DocumentDB instance using Docker:** - - **Bash** - - ```bash - docker pull ghcr.io/documentdb/documentdb/documentdb-local:latest - docker tag ghcr.io/documentdb/documentdb/documentdb-local:latest documentdb - docker run -dt -p 10260:10260 --name documentdb-container documentdb --username admin --password password123 - docker image rm -f ghcr.io/documentdb/documentdb/documentdb-local:latest || echo "No existing documentdb image to remove" - ``` - - **PowerShell** - - ```powershell - docker pull ghcr.io/documentdb/documentdb/documentdb-local:latest - docker tag ghcr.io/documentdb/documentdb/documentdb-local:latest documentdb - docker run -dt -p 10260:10260 --name documentdb-container documentdb --username admin --password password123 - docker image rm -f ghcr.io/documentdb/documentdb/documentdb-local:latest; if ($LASTEXITCODE -ne 0) { echo "No existing documentdb image to remove" } - ``` - - > **Note:** We're using port `10260` to avoid conflicts with other local database services. You can use port `27017` (the standard MongoDB port) if you prefer. - -2. **Connect to DocumentDB using the VS Code extension:** - - Locate and select the DocumentDB icon in the primary VS Code sidebar on the left-hand side. - - Add a new connection to your DocumentDB: - - In the DocumentDB Connections area, locate and expand the **DocumentDB Local** node. - - Select the **New Local Connection** option. - - Confirm the port (default value `10260`), username, password, and choose the **Disable TLS/SSL** option. - - **Note:** TLS/SSL can be enabled, but this walkthrough skips those steps for simplicity. - - A new DocumentDB Local entry will be added and listed in your DocumentDB Connections area. - -## Core Features - -### Database and Collection Management - -#### Browsing Structure -- **Database View**: See all databases in your connection -- **Collection View**: Browse collections within each database -- **Document View**: Explore individual documents - -#### Creating Resources -```javascript -// Create a new database -// Right-click in the database explorer and select "Create Database" - -// Create a new collection -// Right-click on a database and select "Create Collection" - -// Create a new document -// Right-click on a collection and select "Create Document" -``` - -### Data Views - -#### Table View -- **Grid Layout**: View documents in a spreadsheet-like format -- **Sortable Columns**: Click column headers to sort data -- **Filtering**: Use the filter bar to search for specific values -- **Pagination**: Navigate through large datasets - -#### Tree View -- **Hierarchical Display**: See document structure as a tree -- **Expandable Nodes**: Click to expand/collapse nested objects -- **Field Navigation**: Easily navigate complex document structures - -#### JSON View -- **Raw JSON**: View documents in their native JSON format -- **Syntax Highlighting**: Color-coded JSON for better readability -- **Formatting**: Automatically formatted JSON display - -### Query Editor - -#### Basic Queries -```javascript -// Find all documents -db.collection.find({}) - -// Find documents with filters -db.collection.find({ status: "active" }) - -// Find documents with complex filters -db.collection.find({ - age: { $gte: 18 }, - status: { $in: ["active", "pending"] } -}) -``` - -#### Aggregation Pipelines -```javascript -// Basic aggregation -db.collection.aggregate([ - { $match: { status: "active" } }, - { $group: { _id: "$category", count: { $sum: 1 } } }, - { $sort: { count: -1 } } -]) - -// Complex aggregation with multiple stages -db.sales.aggregate([ - { $match: { date: { $gte: new Date("2024-01-01") } } }, - { $lookup: { from: "products", localField: "productId", foreignField: "_id", as: "product" } }, - { $unwind: "$product" }, - { $group: { _id: "$product.category", totalSales: { $sum: "$amount" } } } -]) -``` - -#### Query Features -- **Auto-completion**: Field names and operators are suggested as you type -- **Syntax Highlighting**: MongoDB query syntax is color-coded -- **Error Detection**: Invalid queries are highlighted -- **Query History**: Previous queries are saved for reuse - -### Document Management - -#### Creating Documents -```javascript -// Create a new document -{ - "name": "John Doe", - "email": "john@example.com", - "age": 30, - "created_at": new Date(2024-11-16), - "tags": ["user", "active"] -} +```bash +code --install-extension ms-azuretools.vscode-documentdb ``` -#### Editing Documents -- **Inline Editing**: Click on values to edit them directly -- **JSON Editor**: Use the JSON view for complex edits -- **Validation**: Automatic validation of JSON syntax -- **Undo/Redo**: Support for editing operations - -#### Deleting Documents -- **Single Document**: Right-click and select "Delete Document" -- **Bulk Operations**: Select multiple documents for deletion -- **Confirmation**: Confirmation dialog to prevent accidental deletions - -### Data Import/Export - -#### Importing Data -1. **JSON Files**: Import documents from JSON files -2. **CSV Files**: Import tabular data (with field mapping) -3. **Bulk Import**: Import large datasets efficiently - -#### Exporting Data -1. **Single Documents**: Export individual documents -2. **Query Results**: Export filtered query results -3. **Collections**: Export entire collections -4. **Formats**: Export as JSON, CSV, or BSON - -## Advanced Features - -### MongoDB Scrapbooks - -#### Creating Scrapbooks -```javascript -// Create a new scrapbook file (.mongo) -// This allows you to save and reuse queries - -// Example scrapbook content -db.users.find({ status: "active" }).limit(10) - -// You can include multiple queries -db.users.countDocuments({ status: "active" }) - -db.users.aggregate([ - { $match: { status: "active" } }, - { $group: { _id: "$department", count: { $sum: 1 } } } -]) -``` - -#### Running Scrapbooks -- **Execute All**: Run all queries in the scrapbook -- **Execute Selection**: Run only selected queries -- **Step-by-Step**: Execute queries one at a time - -### Index Management - -#### Viewing Indexes -```javascript -// View all indexes on a collection -db.collection.getIndexes() -``` - -#### Creating Indexes -```javascript -// Create a single field index -db.collection.createIndex({ "createdAt": 1 }) - -// Create a compound index -db.collection.createIndex({ "lastName": 1, "firstName": 1 }) - -// Create a unique index -db.collection.createIndex({ "email": 1 }, { unique: true }) - -// Create a geospatial index -db.collection.createIndex({ "location": "2dsphere" }) -``` - -#### Managing Indexes -- **View Index Details**: See index specifications and usage statistics -- **Drop Indexes**: Remove unnecessary indexes -- **Index Analysis**: Understand index usage patterns - -### Performance Monitoring - -#### Query Performance -```javascript -// Analyze query performance -db.collection.find({ email: "user@example.com" }).explain("executionStats") -``` - -#### System Statistics -```javascript -// Get database statistics -db.stats() - -// Get collection statistics -db.collection.stats() - -// Get server status -db.runCommand({ serverStatus: 1 }) -``` - -## Migration Support - -### MongoDB to DocumentDB Migration - -The VS Code extension is particularly useful for migrating from MongoDB to DocumentDB: - -#### Pre-Migration Analysis -1. **Schema Exploration**: Use the extension to understand your MongoDB schema -2. **Data Volume Assessment**: Check collection sizes and document counts -3. **Index Analysis**: Review existing indexes and their usage - -#### Migration Process -1. **Dual Connections**: Connect to both MongoDB and DocumentDB instances -2. **Data Comparison**: Use the extension to compare data between systems -3. **Validation**: Verify data integrity after migration - -#### Post-Migration Validation -1. **Query Testing**: Test your application queries in DocumentDB -2. **Performance Monitoring**: Compare query performance between systems -3. **Data Verification**: Ensure all data migrated correctly - -## Best Practices - -### Connection Management - -1. **Use Connection Strings**: Store connection strings securely -2. **Test Connections**: Verify connectivity before performing operations -3. **Monitor Performance**: Keep an eye on query performance - -### Query Optimization - -1. **Use Indexes**: Create appropriate indexes for your queries -2. **Limit Results**: Use `.limit()` for large result sets -3. **Project Fields**: Use projection to return only needed fields - -### Data Management - -1. **Backup Regularly**: Export important data regularly -2. **Validate Data**: Check data integrity after operations -3. **Use Transactions**: Use transactions for multi-document operations - -## Troubleshooting - -### Common Issues - -#### Connection Problems -- **Authentication**: Verify username, password, and authentication mechanism -- **Network**: Check firewall settings and network connectivity -- **SSL/TLS**: Ensure SSL certificates are valid - -#### Performance Issues -- **Indexes**: Review and optimize your index strategy -- **Query Patterns**: Analyze slow queries and optimize them -- **Connection Pooling**: Use appropriate connection pool settings - -#### Data Issues -- **JSON Syntax**: Validate JSON syntax in documents -- **Data Types**: Ensure data types are compatible -- **Size Limits**: Check for document size limitations - -### Getting Help - -1. **Extension Documentation**: Check the extension's built-in help -2. **Community Support**: Join the [Discord community](https://discord.gg/vH7bYu524D) -3. **GitHub Issues**: Report bugs on the [extension repository](https://github.com/microsoft/vscode-documentdb) - -## Integration with Other Tools - -### Version Control -- **Git Integration**: VS Code's Git integration works with your database scripts -- **Scrapbook Versioning**: Version control your MongoDB scrapbooks -- **Configuration Management**: Store connection configurations in version control - -### Development Workflow -- **Local Development**: Use local DocumentDB instances for development -- **Staging Environment**: Connect to staging databases for testing -- **Production Monitoring**: Monitor production databases safely - -## Next Steps - -- Learn about [DocumentDB Features](https://documentdb.io/docs/reference/) for advanced capabilities -- Join our [Discord community](https://discord.gg/vH7bYu524D) for support and discussions -- Report issues and contribute on [GitHub](https://github.com/documentdb/documentdb) +For feature reference, issues, and release notes, see the [extension repository](https://github.com/microsoft/vscode-documentdb). \ No newline at end of file diff --git a/getting-started/vscode-quickstart.md b/getting-started/vscode-quickstart.md index 2da1b2b..100dffb 100644 --- a/getting-started/vscode-quickstart.md +++ b/getting-started/vscode-quickstart.md @@ -45,7 +45,9 @@ Get started with DocumentDB using the Visual Studio Code extension for a seamles ``` > **Note:** During the transition to the Linux Foundation, Docker images may still be hosted on Microsoft's container registry. These will be migrated to the new DocumentDB organization as the transition completes. - > **Note:** Replace `` and `` with your desired credentials. You must set these when creating the container for authentication to work. + > + > **Note:** Replace `` and `` with your own credentials. If you omit `--username`/`--password` the container falls back to the built-in `default_user` / `Admin100` — these are public, so anyone who can reach the published port can authenticate as admin. Always set your own. + > > **Port Note:** Port `10260` is used by default in these instructions to avoid conflicts with other local database services. You can use port `27017` (the standard MongoDB port) or any other available port if you prefer. If you do, be sure to update the port number in both your `docker run` command and your connection string accordingly. 2. Connecting to your database @@ -60,7 +62,7 @@ Get started with DocumentDB using the Visual Studio Code extension for a seamles 3. Creating your first database and collection - Click on the drop-down next to your local connection and select "Create Database..." - Enter database name and confirm - - Click on the drop-down next to your created dataabse and select "Create Collection..." + - Click on the drop-down next to your created database and select "Create Collection..." - Enter collection name and confirm - Repeat for every database and collection you wish to create under your connection @@ -74,7 +76,7 @@ Get started with DocumentDB using the Visual Studio Code extension for a seamles { "name": "Test Document", "type": "example", - "created_at": new Date() + "created_at": { "$date": "2026-08-25T00:00:00Z" } } ``` diff --git a/getting-started/yugabyte-setup.md b/getting-started/yugabyte-setup.md deleted file mode 100644 index 0c85310..0000000 --- a/getting-started/yugabyte-setup.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: YugabyteDB Setup -description: Learn how to use DocumentDB alongside YugabyteDB for a comprehensive database solution. ---- - -# DocumentDB Usage with YugabyteDB - -Learn how to use DocumentDB alongside YugabyteDB for a comprehensive database solution. - -## Overview - -YugabyteDB is a distributed SQL database that is PostgreSQL-compatible. Since DocumentDB is built on PostgreSQL, it can be integrated with YugabyteDB to combine the benefits of both systems.