1. Simplicity and Speed: Spring Boot simplifies the development process by providing a wide range of pre-configured templates, which significantly speeds up application setup and deployment. This is crucial when implementing adapters for real-time data streaming services like Lightstreamer.
If you are new to Lightstreamer, it's a real-time messaging server that allows data to be pushed to mobile, web, and desktop applications in real-time. Its optimized transmission algorithms make it the right choice for applications that require low-latency data delivery, such as financial trading, online gaming, and data streaming services.
Excel is a popular spreadsheet software developed by Microsoft. It is used to organize, analyze, and visualize data in various industries and fields. Excel provides numerous features and functions to perform calculations, create charts, and manage data efficiently.
RTD stands for Real-Time Data and is a specific functionality in Excel. It enables users to retrieve and display real-time data from external sources, such as financial markets, databases, or other data feeds. With RTD, users can create dynamic and constantly updating spreadsheets, making it particularly useful for monitoring and analyzing time-sensitive information.
In essence, Excel is a versatile tool for data manipulation, while RTD is a specialized feature that facilitates the integration of real-time data to keep spreadsheets up-to-date with the latest information.
In this blog post, we delve into the remarkable potential of merging Lightstreamer, RTD (Real-Time Data), and Excel to supercharge financial data analysis. Discover how this seamless integration empowers traders, analysts, and financial professionals to tap into real-time market data and transform Excel into a dynamic financial dashboard for diverse applications across trading, portfolio management, and market analysis, and witness how this powerful trio unlocks previously untapped data-driven opportunities. Stay ahead of the curve in the fast-paced financial world by harnessing the real-time capabilities of Lightstreamer, RTD, and Excel for unparalleled insights and decision-making precision.
We are thrilled to announce a momentous new release of Lightstreamer, encompassing both the Lightstreamer Server and all the Lightstreamer Client SDKs and Adapter SDKs. This significant update introduces groundbreaking features and improvements, enhancing the overall performance and functionality of Lightstreamer.
This blog post continues the series of examples through which we want to show various technologies that can be used as a data source to power a Lightstreamer Data Adapter and, in turn, dispatch the data to multiple clients connected to the Lightstreamer server all around the internet.
In this post, we will show a basic integration with Apache Kafka.
We're excited to announce the release of our newest demo. And no, this time it's not a stock-list demo 😉
We switched things up a bit, and the new demo simulates a very simple departures board with a few rows showing real-time flight information to passengers of a hypothetical airport. The data are simulated in the back-end and retrieved from an Amazon DynamoDB data source. In short, we showcase our cool "virtual airport" where you can pretend to take a flight without ever leaving your home!
