DreamFactory is an API management platform used to generate, secure, document, and extend APIs. The platform is used within a wide variety of sectors, including banking, auto manufacturing, online gaming, consulting, and government.
Perhaps best known for its API generation capabilities, the platform can generate APIs for 20 databases including MySQL, Microsoft SQL Server, Oracle, and MongoDB, among others. Generators are also available for Excel, AWS S3, email delivery providers, and IoT.
Authentication and security is another core feature. APIs can be authenticated using API keys, Active Directory, LDAP, OAuth, OpenID Connect, SAML 2.0, and Okta. A robust yet convenient set of role-based access controls (RBACs) allow administrators to easily create highly tailored API access rules.
DreamFactory's scripting engine supports PHP, Python (version 2 and 3) and NodeJS. Developers can use the engine to create entirely scripted APIs which incorporate third-party libraries and packages. The scripting engine can also be used to extend existing endpoints, allowing developers to implement API composition, apply data masking and hiding, response transformation, and more.
Recently added features include restricted administrators, API scheduling, API auditing, and API generation connectors for Snowflake, Hadoop, and Apache Hive.
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Based on our record, gatling.io seems to be a lot more popular than DreamFactory. While we know about 19 links to gatling.io, we've tracked only 1 mention of DreamFactory. 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.
Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / 2 months ago
Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 10 months ago
New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: about 1 year ago
Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: about 1 year ago
I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago
Dreamfactory.com — Open source REST API backend for mobile, web, and IoT applications. Hook up any SQL/NoSQL database, file storage system, or external service and it instantly creates a comprehensive REST API platform with live documentation, user management,... - Source: dev.to / almost 3 years ago
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