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support

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Description

Go REST is a versatile platform designed for testing and prototyping APIs that supports both GraphQL and RESTful formats, providing users with realistic fake data that mimics real responses, and is accessible around the clock through public endpoints for various entities such as users, posts, comments, and todos. This platform offers the flexibility of multiple API versions along with comprehensive search capabilities across all fields, pagination options (including page and per_page), and includes rate-limiting headers and response format negotiation to optimize performance. It adheres to standard HTTP methods, while any requests that modify data necessitate an access token, which can be provided via an HTTP Bearer token or as a query parameter. Additionally, nested resource capabilities allow for the retrieval of interconnected data, including user-specific posts, comments on posts, and todos created by users, ensuring that developers can easily access relevant information. The platform also features request and response logging, customizable rate limits, and daily data resets to maintain a pristine testing environment, facilitating a smooth development experience. Furthermore, users can take advantage of a dedicated GraphQL endpoint located at /public/v2/graphql, which enables schema-driven queries and mutations for enhanced data manipulation options.

Description

PartiQL extends SQL in a manner that is straightforward, allowing nested data to be treated as integral components and enabling a smooth integration with SQL itself. This capability facilitates intuitive operations such as filtering, joining, and aggregating various types of data, including structured, semistructured, and nested datasets. By decoupling the syntax and semantics of queries from the actual data format or storage system, PartiQL provides a cohesive querying experience across diverse data stores and formats. It empowers users to engage with data irrespective of the presence of a standard schema. Additionally, the components of PartiQL—including its syntax, semantics, embedded reference interpreter, command-line interface, testing framework, and associated tests—are distributed under the Apache License, version 2.0. This licensing grants users the freedom to use, modify, and share their contributions while adhering to their preferred terms. Thus, the overall design of PartiQL enhances accessibility and flexibility in data management across various platforms.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS IoT No 
Amazon DynamoDB No 
Amazon Quantum Ledger Database (QLDB) No 
Amazon Redshift No 
DynamicPDF API Yes 
Frogcast Yes 
GraphQL Yes 
Implement AI Yes 
JSON Yes 
Nevatech Sentinet Yes 
OAuth Yes 
SQLAI.ai No 
XML Yes 

Integrations

AWS IoT Yes 
Amazon DynamoDB Yes 
Amazon Quantum Ledger Database (QLDB) Yes 
Amazon Redshift Yes 
DynamicPDF API No 
Frogcast No 
GraphQL No 
Implement AI No 
JSON No 
Nevatech Sentinet No 
OAuth No 
SQLAI.ai Yes 
XML No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Go REST

Country

United States

Website

gorest.co.in/

Vendor Details

Company Name

PartiQL

Website

partiql.org

Product Features

API Testing

Functional Testing No 
Fuzz Testing No 
Load Testing No 
Penetration Testing No 
Runtime and Error Detection No 
Security Testing No 
UI Testing No 
Validation Testing No 

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Alternatives

Alternatives

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GraphDB

Ontotext
Graphweaver Reviews

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Exogee
GraphQL Reviews

GraphQL

The GraphQL Foundation