Wikimedia Enterprise Description
Gather information from Wikimedia projects in various languages, utilize metadata specifically designed for Wikimedia Enterprise, and identify vandalism or significant changes at the article level. Unlock the possibilities within your organization by leveraging Wikimedia Enterprise to create knowledge graphs, develop voice assistants or bots, train models, and generate extensive enriched datasets, among other applications. With access to one of the largest public data repositories available online, you can benefit from a cohesive structure and assured accessibility. This resource is ideal for enhancing voice assistants, enriching search engine content, training machine learning algorithms, and supplementing private datasets. Furthermore, empower your organization to build a knowledge graph that can be utilized collaboratively across different teams to enhance overall productivity and innovation.
Wikimedia Enterprise Alternatives
Engineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization.
In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions.
On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.
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MindCloud is an enterprise-ready integration platform for connecting applications, automating workflows, and moving data reliably across business systems. Teams can build integrations using APIs, webhooks, EDI, FTP-based file transfers, scheduled processes, and automated imports and exports.
Use MindCloud to synchronize data in real time, transform records between different data models, eliminate duplicate entry, and orchestrate workflows across CRM, ERP, ecommerce, accounting, marketing, and operational systems.
MindCloud combines a powerful low-code platform with an experienced integration delivery team. Organizations can build and manage their own workflows or work with MindCloud’s solutions engineers to scope, build, launch, and support production integrations—without diverting internal engineering resources.
Connect to more than 3,000 applications, including Salesforce, HubSpot, NetSuite, QuickBooks Online, QuickBooks Desktop, BigCommerce, Shopify, monday.com, ServiceTitan, Acumatica, Walmart, Amazon, eBay, Airtable, Google Sheets, and many more.
Connect to anything. Automate everything.
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Blazegraph
Blazegraph™ DB is an exceptionally high-performance graph database that offers support for Blueprints, along with RDF and SPARQL APIs. Capable of handling up to 50 billion edges on a single server, it has been adopted by numerous Fortune 500 companies, including EMC and Autodesk. This database is integral to various Precision Medicine applications and enjoys extensive use in the life sciences sector. Additionally, it plays a crucial role in cyber analytics for both commercial enterprises and government agencies. Moreover, Blazegraph powers the Wikidata Query Service for the Wikimedia Foundation. Users have the option to download it as an executable jar, a war file, or a tar.gz distribution. Designed with user-friendliness in mind, Blazegraph allows for a quick start, although it comes with SSL and authentication turned off by default. For those deploying in a production environment, it is highly advisable to activate SSL, establish authentication, and implement suitable network configurations to ensure security. Below, you will find valuable resources to assist you in making these configurations effectively. Furthermore, the documentation provides a comprehensive guide for new users to navigate setup and support effectively.
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Openverse
Openverse is an open-source search platform created by the WordPress Foundation that catalogs over 800 million works in the public domain or with open licenses, encompassing various forms of media such as images and audio files. By collecting content from over 45 different sources including Wikimedia Commons, Flickr, Europeana, and Freesound, it serves as a centralized hub for users to easily discover and engage with creative materials. The platform features sophisticated filtering tools that allow users to narrow down results based on license type, source, and file format, ensuring the content aligns with their specific requirements. Each media entry provides clear attribution details, which helps users give proper credit in their projects. Additionally, Openverse offers an API that allows developers to access its extensive database programmatically, making it easier to integrate into various applications and services. With its intuitive interface and dedication to open content, Openverse stands out as an essential resource for creators, educators, and developers in search of free and legally usable media assets. This makes it not just useful, but also crucial for fostering creativity and collaboration across different fields.
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Pricing
Pricing Starts At:
$.01 per request
Free Trial:
Yes
Company Details
Company:
Wikimedia Enterprise
Website:
enterprise.wikimedia.com
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
Wikimedia Enterprise Features and Options
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