ScreenMeet offers a suite of secure, browser-based remote support and screen-sharing tools designed to enhance customer service and IT support. With capabilities like remote desktop access, live voice and video support, co-browsing, and asynchronous screen recording, ScreenMeet allows agents to assist customers or employees seamlessly. It integrates with major ITSM, CRM, and contact center platforms such as ServiceNow, Salesforce, and Microsoft Dynamics 365, providing a unified support experience. Designed for enterprises, ScreenMeet ensures high security, scalability, and flexibility, making it ideal for businesses aiming to improve support efficiency and customer satisfaction.
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RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Google Earth
Discover the globe like never before with unparalleled detail, allowing you to place markers for significant sites within your project and draw shapes or lines right on the map. You can enrich your map with images and videos that provide valuable context, and you have the ability to tilt the view for an ideal 3D perspective or immerse yourself in Street View for an engaging 360-degree experience. Collaborate seamlessly with others, much like you would in Google Docs, and share your narrative through a compelling presentation. Google Earth Pro is available for free on desktop for users who require advanced features, letting you import and export GIS data while also offering the ability to explore historical imagery. This versatile tool is compatible with PC, Mac, or Linux systems. For mobile users, Google Earth offers a convenient way to explore the globe with just a swipe on your smartphone or tablet, and with Google Earth for Chrome, you can effortlessly fly anywhere in moments while enjoying the exploration of 3D cities directly in your browser. Additionally, Earth Studio provides a powerful animation tool for creating visuals using Google Earth’s satellite and 3D imagery, while Google Earth Engine merges a vast collection of satellite imagery and geospatial datasets with the ability to perform planetary-scale analyses, making it an invaluable resource for researchers and enthusiasts alike. With these diverse functionalities, the possibilities for exploration and presentation are virtually endless.
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Google Earth Engine
Google Earth Engine serves as a cloud-centric platform designed for the scientific examination and visualization of geospatial data, granting users access to an extensive public archive containing over 90 petabytes of analysis-ready satellite imagery alongside more than 1,000 carefully curated geospatial datasets. This rich collection boasts over five decades of historical imagery that is refreshed daily, with pixel resolutions reaching as fine as one meter, showcasing datasets from sources such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Through its web-based JavaScript Code Editor and Python API, Earth Engine empowers users to perform analyses on Earth observation data while employing machine learning techniques, thereby enabling the creation of sophisticated geospatial workflows. The platform's seamless integration with Google Cloud facilitates large-scale parallel processing, allowing for thorough analyses and efficient visualization of Earth data. Furthermore, Earth Engine's compatibility with BigQuery enhances its capabilities, making it a versatile tool for users in various fields. This unique combination of features positions Google Earth Engine as an essential resource for researchers and professionals working with geospatial information.
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