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What is Wikimedia Enterprise?

Collect data from Wikimedia projects in multiple languages, employ metadata tailored for Wikimedia Enterprise, and detect instances of vandalism or notable alterations at the article level. By harnessing Wikimedia Enterprise, your organization can unlock a multitude of opportunities, such as constructing knowledge graphs, creating voice assistants or bots, training advanced models, and producing rich datasets, among various other uses. With access to one of the largest public data collections available, you can enjoy a unified framework and guaranteed accessibility. This valuable resource is perfect for boosting the capabilities of voice assistants, enhancing the quality of search engine results, training machine learning models, and enriching proprietary datasets. Moreover, equip your organization to establish a knowledge graph that fosters collaboration among different teams, ultimately driving increased efficiency and innovation across all departments. This interconnected approach not only streamlines processes but also cultivates a culture of shared knowledge and continuous improvement.

What is Stellate?

Aim for global response times of approximately 40ms, ensuring that your users experience the swift performance they expect. Protect your API from unexpected traffic spikes and outages, thereby cultivating a trustworthy reputation that users can rely on at all times. Address stability issues with functionalities such as auto retries and stale-while-revalidate, since maintaining consistency is crucial for achieving success. Reduce the load on your origin server by up to 95%, enabling you to handle traffic surges efficiently while decreasing downtime and cutting expenses. Acquire real-time insights into your API’s performance metrics, as this information is vital for making improvements. Tailor your schema based on valuable usage statistics, empowering you to make well-informed decisions confidently. Track the specific country, page, and user associated with each request to gain comprehensive insights and maintain awareness of all activities. Keep tabs on origin response times for every query and mutation, identifying opportunities for optimization. Stay proactive in detecting performance drops and errors by receiving immediate alerts as soon as your users report issues, facilitating quick resolutions. Maintain vigilant oversight of all HTTP and GraphQL errors to pinpoint when and where users face challenges, allowing you to effectively tackle these problems and enhance overall user satisfaction. By routinely analyzing this data, you will not only promote ongoing improvement in your API's reliability and performance but also create a better experience for your users. Continuous review of this information will ultimately lead to more informed strategies for future development as well.

Media

Media

Integrations Supported

Openverse

Integrations Supported

GraphQL
PagerDuty
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$.01 per request
Free Trial Offered?

Pricing Information

$10 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Wikimedia Enterprise

Company Website

enterprise.wikimedia.com

Company Facts

Organization Name

Stellate

Company Website

stellate.co

Categories and Features

API Management

Not specified

Categories and Features

API Management

Not specified

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