Integrations / cosmosDB

Connect

cosmosDB

with ToolJet

Connect to Azure’s multi-model database to build real-time, globally distributed internal tools—no backend code required.

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Available actions with ToolJet and cosmosDB integration

ToolJet's integration with cosmosDB supports various operations:

List databases

Retrieve a list of all databases available in your Azure Cosmos DB account.

List containers

Get all containers within a specified database. Requires the database name as input.

Insert items

Add one or more JSON items to a specified container. Requires the database, container name, and items.

Read item

Fetch a single item from a container using its unique Item ID. Requires database, container, and item ID.

Delete item

Remove an item from a container by specifying its Item ID. Requires database, container, and item ID.

Query database

Execute SQL-like queries on a container to filter and retrieve documents based on custom conditions. Requires database, container, and a query string.

Why use ToolJet with cosmosDB

AI-powered app building

Build internal tools, workflows, and AI agents in hours using plain English. Go from idea to production with AI-generated apps, data models, and instant debugging.

Enterprise-grade security and compliance

Stay secure with SSO, RBAC, audit logs, encryption, and compliance standards like SOC2, ISO 27001, and GDPR. Deploy your way: cloud, on-prem, or hybrid.

Production-ready database and integrations

Skip setup hassles with instant PostgreSQL and pre-built integrations for AI, databases, storage, and APIs.

Components and environment management

Speed up development with 60+ pre-built components and manage releases across dev, test, and production environments.

Flexible development options

Use no-code visual builders, or dive into low-code, and switch seamlessly as your needs evolve. You have full control, and there is no lock-in.

JavaScript and Python

Write custom logic and data transformations using JavaScript or Python, flexible scripting built right in.

Explore more Database integrations

Frequently asked questions

1. What is the pricing model for Azure Cosmos DB?

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Azure Cosmos DB pricing is based on throughput (measured in Request Units per second), storage, and data transfer. You can choose between provisioned throughput and serverless options, depending on your workload needs.

2. How does Cosmos DB compare to MongoDB?

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Cosmos DB supports MongoDB’s API and offers global distribution, low-latency reads/writes, and turnkey scalability. MongoDB, on the other hand, is more flexible for on-prem or self-hosted use but may require more setup for high availability and geo-replication.

3. What’s the difference between Cosmos DB and DynamoDB?

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While both are managed NoSQL databases, Cosmos DB offers multi-model support and global distribution out-of-the-box. DynamoDB is tightly integrated into the AWS ecosystem and optimized for high-performance key-value access patterns.

4. How does Cosmos DB compare to PostgreSQL?

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Cosmos DB is a NoSQL service designed for massive scalability and real-time global availability, while PostgreSQL is a relational database offering strong ACID compliance and complex querying via SQL. Cosmos DB is better for unstructured or semi-structured data and distributed systems.

5. What is the difference between Cosmos DB and Azure SQL Database?

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Azure SQL Database is a fully managed relational database, best for structured data and traditional SQL applications. Cosmos DB is ideal for scenarios requiring low-latency access to unstructured data across multiple regions with multi-model support.