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create-api.dev by Kong VS Qdrant

Compare create-api.dev by Kong VS Qdrant and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

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

Generate and share OpenAPI specs with AI

Qdrant logo Qdrant

Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Not present
  • Qdrant Landing page
    Landing page //
    2023-12-20

Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.

create-api.dev by Kong

Website
api.dev
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Qdrant

Website
qdrant.tech
Pricing URL
Official Qdrant Pricing
$ Details
freemium
Platforms
Linux Windows Kubernetes Docker
Release Date
2021 May
Edit details

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.

Qdrant features and specs

  • Advanced Filtering
  • On-disc Storage
  • Scalar Quantization
  • Product Quantization
  • Binary Quantization
  • Sparse Vectors
  • Hybrid Search
  • Discovery API
  • Recommendation API

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

Analysis of Qdrant

Overall verdict

  • Qdrant is generally well-regarded for its performance and ease of use in managing vector data. Many users find it effective for building applications that require advanced search capabilities, particularly those involving machine learning models. However, its suitability can depend on specific project requirements and constraints, such as the existing tech stack and expected workloads.

Why this product is good

  • Qdrant is a vector database and similarity search engine designed for storing and querying high-dimensional data. It's especially effective for applications like neural search or recommendation systems, due to its ability to efficiently handle large-scale vector embeddings. Qdrant offers features such as real-time updates, seamless integration with existing data pipelines, and high availability, which make it an appealing choice for developers looking for a robust and scalable solution.

Recommended for

  • Developers building AI-powered applications
  • Companies needing efficient similarity search mechanisms
  • Teams implementing recommendation systems
  • Projects requiring real-time data processing
  • Applications dealing with large-scale vector data

Category Popularity

0-100% (relative to create-api.dev by Kong and Qdrant)

create-api.dev by Kong

Qdrant

APIs
100 100%
APIs
0% 0
Databases
0 0%
Databases
100% 100
Developer Tools
23 23%
Developer Tools
77% 77
Search Engine
0 0%
Search Engine
100% 100

Questions & Answers

As answered by people managing create-api.dev by Kong and Qdrant.

Why should a person choose your product over its competitors?

Qdrant's answer:

Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.

What makes your product unique?

Qdrant's answer:

Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.

Which are the primary technologies used for building your product?

Qdrant's answer:

Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.

User comments

Share your experience with using create-api.dev by Kong and Qdrant. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Qdrant seems to be more popular. It has been mentiond 64 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.

Qdrant mentions (64)

  • Kdrant: an idiomatic, coroutine-first Kotlin client for Qdrant
    If you build on the JVM and want to use Qdrant, the official client is io.qdrant:client — and it's built for Java. Every call returns a ListenableFuture, requests are assembled with protobuf builders, and it drags a gRPC/Netty stack onto your classpath. From Kotlin, that means fighting the language:. - Source: dev.to / about 1 month ago
  • How to give Claude Code persistent memory with a self-hosted mem0 MCP server
    The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 7 months ago
  • The Database Zoo: Vector Databases and High-Dimensional Search
    Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 9 months ago
  • Java's Agentic Framework Boom is a Code Smell
    Yes, Java SDKs are critical. But you don't need to rebuild entire orchestration engines just to write agents in Java. The ecosystem already has platforms solving the hard problems: memory (Zep, Mem0, LangMem), tools (specialized platforms), vectors (Pinecone, Weaviate, Qdrant), observability (LangSmith, Helicone, Langfuse). Integrate, don't rebuild. - Source: dev.to / 10 months ago
  • What is the Most Effective AI Tool for App Development Today?
    James Allsopp adds, "LangChain or LlamaIndex for managing LLM workflows, especially if you're adding vector search or documents." These tools handle multi-step processes, essential for complex apps. - Source: dev.to / about 1 year ago
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What are some alternatives?

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

MobileAPI.dev - Device specifications API with 31,000+ phones, tablets & wearables. Get specs, images and pricing via REST API. Free tier available.

Weaviate - Welcome to Weaviate

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

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

deployd - API development tool for Web and Mobile developers.

Vespa.ai - Store, search, rank and organize big data

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