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  4. Testing Frameworks
  5. Drivium vs Karate DSL

Drivium vs Karate DSL

OverviewComparisonAlternatives

Overview

Karate DSL
Karate DSL
Stacks148
Followers268
Votes85
Drivium
Drivium
Stacks0
Followers1
Votes1

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CLI (Node.js)
or
Manual

Detailed Comparison

Karate DSL
Karate DSL
Drivium
Drivium

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Access full vehicle information using plate or VIN number. Database updated with millions of records.

Native support for both JSON and XML; Powerful payload assertions with "deep-equals"; Data-driven testing; Easy even for non-programmers; Embedded JavaScript engine; Test-doubles or HTTP mocking built-in; Re-use test scripts as performance-tests; Environment switching; Comprehensive reports, supported by all CI tools
Saas, Vehicles, Cars, Database, Export, API
Statistics
Stacks
148
Stacks
0
Followers
268
Followers
1
Votes
85
Votes
1
Pros & Cons
Pros
  • 11
    Easy CI integration via cross-platform executable / CLI
  • 9
    Easy for even non-programmers to get started
  • 9
    Simple and meaningful asserts for large responses
  • 7
    Data-driven tests that can even use JSON or CSV sources
  • 5
    Comprehensive documentation and examples
Cons
  • 1
    Complex folder structure, without a defined pattern
  • 1
    Karate uses its own scripting language
  • 1
    There is no IntelliSense support in IDE
  • 1
    Finding errors in code is not easy
  • 1
    Ode support becomes very time consuming and expensive b
No community feedback yet
Integrations
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
Java
Java
Cucumber
Cucumber
IntelliJ IDEA
IntelliJ IDEA
JUnit
JUnit
Eclipse
Eclipse
No integrations available

What are some alternatives to Karate DSL, Drivium?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Elasticsearch

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

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