Software Alternatives, Accelerators & Startups

Datomic VS Amazon API Gateway

Compare Datomic VS Amazon API Gateway 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.

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database

Amazon API Gateway logo Amazon API Gateway

Create, publish, maintain, monitor, and secure APIs at any scale
  • Datomic Landing page
    Landing page //
    2023-09-14
  • Amazon API Gateway Landing page
    Landing page //
    2023-03-12

Datomic features and specs

  • Immutability
    Datomic employs an append-only data model where data is never overwritten but instead appended, ensuring historical data is always available and providing strong consistency.
  • Time Travel Queries
    Datomic allows you to query the database as of any point in time, facilitating auditing and debugging by allowing easy access to historical data states.
  • Rich Data Model
    Supports complex data types like maps and sets directly within its schema, providing a flexible way to represent data.
  • ACID Transactions
    Datomic supports fully ACID-compliant transactions, ensuring reliable and predictable database operations.
  • Scalability
    Separates storage and compute, allowing for horizontal scaling of read operations, making it suitable for handling large datasets.
  • Query Flexibility
    Offers a powerful query language that supports recursive queries, making it suitable for complex data retrieval needs.

Possible disadvantages of Datomic

  • Complexity
    The architecture of Datomic can be complex to understand and implement, particularly for teams unfamiliar with its design principles.
  • Cost
    Can be expensive to operate, especially in a cloud environment, where costs increase with the amount of data stored and the compute resources required.
  • Limited Write Throughput
    Due to its append-only design, Datomic can have limited write throughput, which may not be suitable for applications with heavy write requirements.
  • Closed Source
    Datomic is a proprietary database system, which may not appeal to organizations that prefer open-source solutions.
  • Learning Curve
    Requires a learning curve as its conceptual model and query language are different from traditional databases, potentially requiring additional training.
  • Dependency on AWS
    Relying on AWS ecosystem for the storage backend can limit choices for deployment environments, impacting flexibility.

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.

Datomic videos

KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas

More videos:

  • Review - "Real-World Datomic: An Experience Report" by Craig Andera (2013)
  • Review - Rich Hickey on Datomic Ions, September 12, 2018

Amazon API Gateway videos

Building APIs with Amazon API Gateway

More videos:

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

Category Popularity

0-100% (relative to Datomic and Amazon API Gateway)
Databases
100 100%
0% 0
API Tools
0 0%
100% 100
Relational Databases
100 100%
0% 0
APIs
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon API Gateway seems to be more popular. It has been mentiond 107 times since March 2021. 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.

Datomic mentions (0)

We have not tracked any mentions of Datomic yet. Tracking of Datomic recommendations started around Mar 2021.

Amazon API Gateway mentions (107)

  • 10 Lightweight API Gateways for Your Next Project
    AWS API Gateway is Amazon’s managed gateway service, designed to work seamlessly within the AWS ecosystem. It supports both REST and WebSocket APIs, with HTTP APIs being the lightweight, lower-cost option for simple proxying and routing use cases. - Source: dev.to / 8 days ago
  • 4 Cognito User Pools features you might not know about
    This opens up a world of customization options for controlling app access. For example, we can embed custom data in the ID token for the front-end client to use, enabling guards to restrict content. Alternatively, we can add custom scopes to the access token and implement fine-grained access control in an API Gateway API. All it takes is some Lambda function code, and Cognito triggers it at the right time. - Source: dev.to / 28 days ago
  • Verifying Cognito access tokens - Comparing three JWT packages for Lambda authorizers
    When the built-in Amazon API Gateway authorization methods don’t fully meet our needs, we can set up Lambda authorizers to manage the access control process. Even when using Cognito user pools and Cognito access tokens, there may still be a need for custom authorization logic. - Source: dev.to / about 1 month ago
  • Implementing advanced authorization with AWS Lambda for endpoint-specific access
    The API Gateway includes an endpoint structured like this:. - Source: dev.to / about 1 month ago
  • Turning APIs into Revenue: Passive Income Strategies for Developers
    Amazon Web Services exemplifies this approach with automatic volume discounts that encourage increased usage while maximizing revenue at each consumption level. - Source: dev.to / about 1 month ago
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What are some alternatives?

When comparing Datomic and Amazon API Gateway, you can also consider the following products

MySQL - The world's most popular open source database

AWS Lambda - Automatic, event-driven compute service

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

Postman - The Collaboration Platform for API Development

Matisse - Matisse is a post-relational SQL database.

Apigee - Intelligent and complete API platform