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Submitted URL: http://infinyon.com/
Effective URL: https://infinyon.com/
Submission: On April 05 via api from US — Scanned from DE
Effective URL: https://infinyon.com/
Submission: On April 05 via api from US — Scanned from DE
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Text Content
New Video - InfinyOn MQTT to Postgres in 10 mins. Quickly build a time-sensitive data app: Watch Now * Products * InfinyOn Cloud * Fluvio OSS * Blog * Docs * Cloud Docs * APIs * CLI * Fluvio Docs * Learn * Webinars * Use Cases * Company * About Us * Careers * Press Releases * Resources * Try Cloud Fastest way to actionable data. InfinyOn Cloud is a platform for streaming, transforming, and loading events in real-time using programmable data pipelines. Start using it today! Try Cloud Download Why InfinyOn? Real-time event streaming infrastructure can be difficult to build, costly to scale, and hard to operate. InfinyOn Cloud simplifies these challenges by providing a unified platform for real-time event streaming and data transformation, reducing costs and complexity. With InfinyOn Cloud, users can stream, transform and load events into any data store or application, resulting in improved operations, enhanced customer experiences and a competitive advantage. Stream Aggregate millions of events and logs from the core or edge in real time. Transform Format and structure your data with WASM-based SmartModules. Load Use Smart Connectors to load structured data into a database or data lake. Try InfinyOn Cloud - it’s a top ranked product on G2. InfinyOn Cloud a Real-time Data Platform Source Connectors for Data Collection Pipelines Create real-time and ongoing stream processing applications by moving your data with InfinyOn Cloud or the open-source option Fluvio. Connect siloed data and establish real-time data flow through collection pipelines. Data Transformation with SmartModules SmartModules are an innovative feature that enables the creation of programmable data pipelines. They allow for precise shaping and transforming of data using WebAssembly (WASM) and can be deployed on source or sink connectors, producers or consumers, and within the Stream Processing Unit (SPU). Stream Processing Units Designed for Horizontal Scale High performance Stream Processing Units (SPUs) work in unison with other SPUs to manage replicas, manage local storage, receive data from producers, and send data to consumers. Sink Connectors for Data Distribution Pipelines Easily construct data distribution pipelines to drive your applications, microservices, and business intelligence tools. Data in Motion | Smart Data Pipelines | Smart Connectors Key concepts Data in Motion Using data in motion is more effective than using data at rest. Business-critical events are often stored in a database and must be analyzed later through batch processing for analytics and insights. InfinyOn Cloud, a fully-managed Fluvio service, allows companies to move their data in real-time. By doing so, developers and data engineers can rapidly create real-time services that improve customer experiences and operations. Smart Data Pipelines With smart data pipelines that integrate stream processing, data transformation, and analytics, InfinyOn Cloud allows you to move compute to data, instead of data to compute. This gives users direct control over their data streams and the ability to easily extract, shape, and enhance data to meet business requirements. Streamline your data streaming architecture and eliminate the need for complex ETL tools. Smart Connectors InfinyOn Cloud’s smart connectors are tools that can be used to import or export streaming data from or to various applications, databases, or data lakes. These connectors are packaged and distributed as Docker images, providing consistency in deployment and flexibility in development. Leveraging WebAssembly (Wasm), the smart connectors improve data quality through filtering, mapping, and aggregation capabilities, reducing costs and complexity. Enterprise Experience InfinyOn Cloud firsthand. Request Demo Request a Demo United States Afghanistan Albania Algeria Andorra Angola Antigua & Deps Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia Herzegovina Botswana Brazil Brunei Bulgaria Burkina Burundi Cambodia Cameroon Canada Cape Verde Central African Rep Chad Chile China Colombia Comoros Congo Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea North Korea South Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Norway Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Romania Russian Federation Rwanda St Kitts & Nevis St Lucia Saint Vincent & the Grenadines Samoa San Marino Sao Tome & Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad & Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Yemen Zambia Zimbabwe Submit Open Source Begin with Fluvio Open Source. 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