Software Alternatives, Accelerators & Startups

Amazon API Gateway VS Azure Cosmos DB

Compare Amazon API Gateway VS Azure Cosmos DB and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Amazon API Gateway logo Amazon API Gateway

Create, publish, maintain, monitor, and secure APIs at any scale

Azure Cosmos DB logo Azure Cosmos DB

NoSQL JSON database for rapid, iterative app development.
  • Amazon API Gateway Landing page
    Landing page //
    2023-03-12
  • Azure Cosmos DB Landing page
    Landing page //
    2023-03-16

Amazon API Gateway features and specs

  • Scalability
    API Gateway automatically scales to handle the number of requests your API receives, ensuring high availability and reliability.
  • Ease of Integration
    Seamlessly integrates with other AWS services like Lambda, DynamoDB, and IAM, enabling a cohesive environment for developing serverless applications.
  • Built-in Security
    Provides features such as IAM roles, API keys, and AWS WAF integration for safeguarding your APIs from potential threats.
  • Monitoring and Logging
    Supports CloudWatch integration for monitoring API requests and responses, helping you maintain observability and troubleshoot issues effectively.
  • Cost-Effective
    You only pay for the requests made to your APIs and the amount of data transferred out, making it a cost-effective solution for many use cases.
  • Caching
    Built-in caching at the API Gateway level can improve performance and reduce latency for frequently accessed data.

Possible disadvantages of Amazon API Gateway

  • Complexity in Configuration
    Setting up and managing API Gateway can be complex, especially for users who are not familiar with AWS services and cloud infrastructure.
  • Cold Start Latency
    When integrated with AWS Lambda, cold starts can introduce latency which can affect the performance of your API.
  • Cost for High Throughput
    While cost-effective for low to moderate usage, the costs can escalate with high throughput and large data transfers.
  • Debugging Issues
    Diagnosis can be complicated due to the multi-tenant nature of the service and the need to dive into multiple AWS logs and services.
  • Limited Customization
    There might be constraints regarding customizations and fine-tuning your APIs compared to self-hosting solutions.
  • Vendor Lock-in
    Dependence on AWS infrastructure can lead to vendor lock-in, making it challenging to migrate to other cloud providers or solutions.

Azure Cosmos DB features and specs

  • Global Distribution
    Azure Cosmos DB allows for the distribution of data across multiple global regions, enhancing availability and delivering low-latency access to data for users around the world.
  • Multi-Model Support
    It supports multiple data models including document, graph, key-value, and column-family APIs, making it versatile for a variety of applications and use cases.
  • Automatic Scaling
    The database automatically scales up and down to meet the demands of application traffic, helping to manage workloads efficiently without manual intervention.
  • High Throughput and Low Latency
    Cosmos DB offers high performance with single-digit millisecond read and write latencies, ensuring fast access to data for applications.
  • Comprehensive SLAs
    Azure Cosmos DB provides industry-leading SLAs covering availability, throughput, consistency, and latency, offering strong guarantees for customers.
  • Integrated Security
    It includes robust security features such as SSL/TLS encryption, role-based access control, and integration with Azure Active Directory for secure data management.

Possible disadvantages of Azure Cosmos DB

  • Cost
    Azure Cosmos DB can be expensive, especially for high-throughput workloads and global distribution scenarios. Its pricing model based on provisioned throughput (RU/s) can add up quickly.
  • Complexity
    Managing and optimizing Cosmos DB can be complex, requiring a deep understanding of its configuration settings, partitioning strategies, and indexing to achieve optimal performance.
  • Vendor Lock-In
    As a proprietary service, using Cosmos DB tightly couples your application to Azure. This can make it difficult to migrate to other database solutions or cloud providers in the future.
  • Consistency Models
    Azure Cosmos DB supports multiple consistency levels which can introduce complexity in designing applications. Developers need to understand and choose the appropriate consistency level for their specific use case.
  • Limited Native Analytics
    Cosmos DB does not have built-in advanced analytics capabilities. Integrating with other services like Azure Synapse or Databricks may be necessary for sophisticated data analytics and reporting.

Amazon API Gateway videos

Building APIs with Amazon API Gateway

More videos:

  • Review - Create API using AWS API Gateway service - Amazon API Gateway p1

Azure Cosmos DB videos

Azure Cosmos DB: Comprehensive Overview

More videos:

  • Review - Azure Friday | Azure Cosmos DB with Scott Hanselman
  • Tutorial - Azure Cosmos DB Tutorial | Globally distributed NoSQL database

Category Popularity

0-100% (relative to Amazon API Gateway and Azure Cosmos DB)
API Tools
100 100%
0% 0
Databases
0 0%
100% 100
APIs
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon API Gateway seems to be a lot more popular than Azure Cosmos DB. While we know about 107 links to Amazon API Gateway, we've tracked only 9 mentions of Azure Cosmos DB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon API Gateway mentions (107)

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Azure Cosmos DB mentions (9)

  • Blazor server app, deployment options
    If you are writing the code maybe consider learning Cosmos DB it’s pretty easy to work with and there is a free tier. Also in my experience it’s much faster than a SQL database. Source: almost 2 years ago
  • Infrastructure as code (IaC) for Java-based apps on Azure
    Sometimes you don’t need an entire Java-based microservice. You can build serverless APIs with the help of Azure Functions. For example, Azure functions have a bunch of built-in connectors like Azure Event Hubs to process event-driven Java code and send the data to Azure Cosmos DB in real-time. FedEx and UBS projects are great examples of real-time, event-driven Java. I also recommend you to go through 👉 Code,... - Source: dev.to / over 2 years ago
  • Deploying a Mostly Serverless Website on GCP
    When debating the database solution for our application we were really seeking for a scalable serverless database that wouldn’t bill us for idle time. Options like AWS Athena, AWS Aurora Serverless, and Azure Cosmos DB immediately came to mind. We believed that GCP would have a comparable service, yet we could not find one. Even after consulting the GCP cloud service comparison documentation we were still unable... - Source: dev.to / almost 3 years ago
  • Which DB to use for API published on Azure?
    If you are looking for one to start with; you can try Cosmos: https://azure.microsoft.com/en-us/services/cosmos-db/. Source: about 3 years ago
  • Basic Setup for Azure Cosmos DB and Example Node App
    I have had an opportunity to work on a project that uses Azure Cosmos DB with the MongDB API as the backend database. I wanted to spend a little more time on my own understanding how to perform basic setup and a simple set of CRUD operations from a Node application, as well as construct an easy-to-follow procedure for other developers. - Source: dev.to / about 3 years ago
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What are some alternatives?

When comparing Amazon API Gateway and Azure Cosmos DB, you can also consider the following products

Postman - The Collaboration Platform for API Development

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

AWS Lambda - Automatic, event-driven compute service

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Apigee - Intelligent and complete API platform

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.