"Real-time analytics (RTA) describes an approach to data processing that allows us to extract value from events as soon as they are made available." (Mark Needham, "Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot", 2023)
"Real-time analytics involves the use of tools and techniques to analyze data immediately after it's collected, enabling decision-makers to draw insights and take action in real-time. It integrates, processes, and analyzes live data to support instantaneous decision making. It's characterized by low latency between when data enters the system and when it’s processed." (Dremio) [source]
"Real-Time Intelligence is a powerful service that empowers everyone in your organization to extract insights and visualize their data in motion. It offers an end-to-end solution for event-driven scenarios, streaming data, and data logs." (Microsoft) [source]
"Real-time analytics is a set of techniques for processing data as soon as it becomes available. The main goal is to provide fast and actionable insights." (MongoDB) [source]
"Real-time analytics is the analysis of data as soon as that data becomes available. In other words, users get insights or can draw conclusions immediately (or very rapidly after) the data enters their system." (Sisense) [source]
"Real-time analytics is the discipline that applies logic and mathematics to data to provide insights for making better decisions quickly. For some use cases, real time simply means the analytics is completed within a few seconds or minutes after the arrival of new data. On-demand real-time analytics waits for users or systems to request a query and then delivers the analytic results. Continuous real-time analytics is more proactive and alerts users or triggers responses as events happen." (Gartner) [source]
"Real-time analytics is the use of data and related resources for analysis as soon as it enters the system. The adjective real-time refers to a level of computer responsiveness that a user senses as immediate or nearly immediate." (Techtarget) [source]
"Real time analytics lets users see, analyze and understand data as it arrives in a system. Logic and mathematics are applied to the data so it can give users insights for making real-time decisions." (OmiSci) [source]
"Real-time analytics refers to the practice of collecting and analyzing streaming data as it is generated, with minimal latency between the generation of data and the analysis of that data." (Databricks) [source]
"The ability to use all available enterprise data as needed and usually involves streaming data that allows users to make business decisions on the fly." (Solutions Review)
