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create-api.dev by Kong VS Google Cloud Datastore

Compare create-api.dev by Kong VS Google Cloud Datastore and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

create-api.dev by Kong logo create-api.dev by Kong

Generate and share OpenAPI specs with AI

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.
Not present
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12

create-api.dev by Kong features and specs

  • Rapid API Development
    create-api.dev by Kong enables developers to quickly scaffold and create APIs, significantly reducing the time needed to go from concept to a working API endpoint.
  • Kong Ecosystem Integration
    Being a Kong product, it integrates well with the broader Kong ecosystem including Kong Gateway, providing access to powerful API management, authentication, rate limiting, and other plugins out of the box.
  • Developer-Friendly Interface
    The platform offers an intuitive and streamlined interface that simplifies the API creation process, making it accessible to developers of varying skill levels.
  • Built-in Best Practices
    The tool encourages API design best practices and standards such as OpenAPI specification compliance, helping teams produce well-structured and consistent APIs from the start.
  • Free to Get Started
    The platform allows developers to get started for free, lowering the barrier to entry for individuals and small teams who want to experiment with API creation and management.

Possible disadvantages of create-api.dev by Kong

  • Vendor Lock-in Risk
    Building APIs on Kong's platform may create dependency on their ecosystem, making it potentially difficult and costly to migrate to alternative API management solutions in the future.
  • Limited Documentation and Community
    As a relatively newer product, the documentation and community support may not be as extensive or mature compared to more established API development tools and frameworks.
  • Pricing Uncertainty at Scale
    While free to start, costs can escalate as usage grows and teams need more advanced features, enterprise support, or higher throughput, which may not be transparent upfront.
  • Limited Customization
    The opinionated nature of the tool may limit flexibility for developers who need highly customized API architectures or non-standard configurations that fall outside the platform's predefined templates and workflows.
  • Dependency on External Service
    Relying on an external hosted service for API creation means potential downtime, latency issues, or service disruptions that are outside the developer's control, which could impact development workflows.

Google Cloud Datastore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Google Cloud Datastore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

Analysis of create-api.dev by Kong

Overall verdict

  • create-api.dev by Kong is a solid, developer-friendly resource that helps teams design, build, and manage APIs effectively, backed by Kong's strong reputation in the API gateway and management space.

Why this product is good

  • Backed by Kong, a well-established leader in API management and gateway technology
  • Offers practical guidance and tools for designing and building modern APIs
  • Focuses on developer experience with clear documentation and best practices
  • Helps teams accelerate API development with proven patterns and standards
  • Aligns with industry-standard approaches to API-first development

Recommended for

  • Developers looking to build APIs following best practices
  • Teams adopting an API-first development strategy
  • Organizations already using or considering Kong's API management platform
  • Startups and enterprises needing scalable and well-designed APIs
  • Engineers seeking educational resources on modern API design

Category Popularity

0-100% (relative to create-api.dev by Kong and Google Cloud Datastore)

create-api.dev by Kong

Google Cloud Datastore

APIs
100 100%
APIs
0% 0
Databases
0 0%
Databases
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Datastore seems to be more popular. It has been mentiond 7 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.

create-api.dev by Kong mentions (0)

We have not tracked any mentions of create-api.dev by Kong yet. Tracking of create-api.dev by Kong recommendations started around Jul 2025.

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called โ€œDjango-nonrelโ€ experimented with the idea of using Djangoโ€™s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 2 years ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: over 3 years ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 4 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 4 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 4 years ago
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What are some alternatives?

When comparing create-api.dev by Kong and Google Cloud Datastore, you can also consider the following products

CraftAPI - Mock your APIs and auto-generate code for any framework

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

deployd - API development tool for Web and Mobile developers.

Datomic - The fully transactional, cloud-ready, distributed database

EchoAPI - Next-gen API development collaboration platform. More than just API design, debug, test, load-testing, and mock.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

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