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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.

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THE SOLUTION

Big Data Processing and Analytics Technologies for Real-Time Data

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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.

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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.

costefficient

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.

Streaming Analytics
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Customers Success

Customers Success

Data-Driven Success

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