Real-time analytic or streaming databases are designed to process and analyze high volumes of data in near real time.
Traditional relational databases process and store historical data in batch modes and can thus provide insights into past trends. Real-time analytic databases go one step further by processing the data in real time and generating updates immediately for any queries registered, helping companies make data-driven decisions. These tools help data science teams combine past and present data for predictive analytics.
Real-time analytic databases process data as it arrives and helps organizations to make informed decisions and take immediate actions with the most recent information.
To qualify for inclusion in the Real-Time Analytic Database category, a product must:
Offer real-time data processing
Have event-driven architecture
Provide lower query latency and execute queries continuously as they are registered