
3Q is an API-first video infrastructure for developers and engineering teams who want direct control over their media backend. A REST video API and native player SDKs give you programmatic access to hosting, ingestion, encoding, live streaming, video-on-demand, and delivery, so you can build video portals, streaming apps, or OTT backends on a single European platform.
The stack is transparent by design. 3Q supports adaptive bitrate streaming over HLS and DASH with mixed HEVC and AVC codecs and automatic Live-to-VoD. Delivery runs over a proprietary global CDN, multi-CDN, and eCDN with tokenised access, encryption, and HTTP/2 over TLS 1.3. The Cookie- and Consent-free HTML5 Video Player is barrier-free to WCAG and needs no consent layer. Video AI exposes speech-to-text transcription, automatic subtitles, translation, and chapter markers through the same API, and integration fits your existing pipeline and CI workflows.
What sets 3Q apart is ownership. 3Q runs on its own independent European video infrastructure, not rented hyperscaler capacity, so your data stays in the EU and under German jurisdiction. 3Q is ISO/IEC 27001 certified and GDPR-compliant, with modular pay-as-you-go pricing and 24/7 human support from engineers who know the platform.
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For more than twenty years, QUODD has been at the forefront of providing groundbreaking market data solutions, empowering the financial ecosystem with the most extensive collection of integrated market data APIs available. Our robust data offerings are specifically designed to meet the needs of your business, covering a wide array of market segments and ensuring cloud delivery that guarantees both reliability and scalability.
Experience data tailored to your preferences:
Data Feeds — Enjoy tick-by-tick, real-time streaming from markets worldwide, optimized for the fast-paced demands of trading and analytics.
APIs — Benefit from developer-centric, contemporary integration and authentication protocols suited for fintech companies and financial institutions.
Integrations — Achieve seamless connectivity with downstream systems and enterprise workflows, featuring cloud-native delivery and scalable on-demand options.
With QUODD, you can unlock the potential of your financial operations and stay ahead in a competitive landscape.
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Oracle Stream Analytics
Oracle Stream Analytics empowers users to handle and evaluate vast amounts of real-time data through advanced correlation techniques, enrichment capabilities, and machine learning integration. This platform delivers immediate, actionable insights for businesses dealing with streaming information, facilitating automated responses that support the needs of modern agile enterprises. It features Visual GEOProcessing with GEOFence relationship spatial analytics, enhancing location-based decision-making. Additionally, the introduction of a new Expressive Patterns Library encompasses various categories, such as Spatial, Statistical, General industry, and Anomaly detection, alongside streaming machine learning functionalities. With an intuitive visual interface, users can seamlessly explore live streaming data, enabling effective in-memory analytics that enhance real-time business strategies. Overall, this powerful tool significantly improves operational efficiency and decision-making processes in fast-paced environments.
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Striim
Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.
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