Streaming Analytics
Real-time processing of large streaming data sources like sensors, IoT device data, logs, metrics, and more, using familiar syntax such as SQL or coding with Python, R, Scala, or Java. Achieve real-time data analytics use cases with a robust and efficient platform.
THE SOLUTION
Big Data Processing and Analytics Technologies for Real-Time Data
Fast Engine, Fast Data, Similar Syntax
With Blendata Enterprise technology, users can process large real-time data with a syntax similar to SQL, providing a seamless experience between batch and real-time processing use cases.
Unified Real-Time and Batch Engine
Whether the data comes from an ERP system like Oracle or is streaming from a messaging distribution platform like Kafka, Blendata Enterprise supports integration and processing for both sources within a single cluster.
Competitive in Price
Compared to traditional Complex Event Processing technology (CEP), Blendata Enterprise can reduce infrastructure footprint by at least 2x while achieving the same level of performance.
Customers Success
Data-Driven Success
