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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SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI
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Tyk
Tyk is an Open Source API Gateway and Management Platform that is leading in Open Source API Gateways and Management. It features an API gateway, analytics portal, dashboard, and a developer portal.
Supporting REST, GraphQL, TCP and gRPC protocols
We facilitate billions of transactions for thousands of innovative organisations.
Tyk can be installed on-premises (Self-managed), Hybrid or fully SaaS.
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VisualEditor
The Editing team's VisualEditor initiative strives to develop a dependable rich-text editor for MediaWiki. This editor, which can be utilized as a MediaWiki extension with the assistance of the Parsoid project for HTML+RDFa, is designed in such a way that its core functionality can operate independently of MediaWiki, Parsoid, or Node.js. Since 2020, VisualEditor has been accessible to all users on MediaWiki.org and is also available on nearly all versions of Wikipedia and Wikivoyage. For many other Wikimedia projects and languages, it functions as an optional Beta Feature for logged-in users. Although VisualEditor is accessible in certain namespaces, such as the main namespace, it is typically not available in discussion or template namespaces. The issue of declining new contributor growth is perceived as one of the most significant challenges confronting the Wikimedia movement. To address this, VisualEditor was developed to eliminate unnecessary technical barriers related to Wikimedia's editing interface, which is seen as essential for boosting the number of contributors to Wikimedia projects. By simplifying the editing process, the project aims not only to enhance user experience but also to foster a more inviting environment for potential contributors.
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