Stream analysis engine BlueBolt


Stream analysis engine BlueBolt

BlueBolt is a real-time streaming data analysis engine that can converge and analyze not only various informal human data sources, but also real-time machine data such as various equipment, production line logs, and sensor data. BlueBolt enables the users to create optimized systems, predict production line problems, and detect abnormalities in security through real-time in-memory analysis of stream big data and complex event processing (CEP). BlueBolt’s strong dispersion in-memory analysis function provides the world’s best performance to realize Operational Intelligence (OI), including large-scale service system operation and management, FDS (Fraud Detection System), compliance, and e-Discovery.


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Main Features


Main features and specifications

It collects and refines various types of streaming data in real-time (structed and unstructured) and performs queries and analysis under complex conditions. It can monitor and share in real time by configuring a dashboard of the analyzed results and performs an alarm function when matching patterns occur under certain conditions.

  • Powerful visualization and dashboard feature

Built-in visualizations, including bar/pie/line charts and timelines, etc., provide intuition to real-time analysis results and rearrange them into an integrated dashboard to achieve analytical insights

  • Q&A-type big data integration analysis feature

It can aggregate, distribute, and index the structured and non-structured data in real-time such as system logs and sensor data, and non-structured big data such as SNS. Along with built-in functions, it has other functions in which real-time big data analysis can be performed through search query of various conditions

  • Real-time in-memory analysis feature

Real-time memory loading and high-speed analysis of complex stream data can allow hidden patterns to be discovered and predicted and data-based decision making to be performed. It provides features for real-time time series data addition, pattern analysis and built-in function calculation

  • Hadoop, HBase, NoSQL data connection feature

It provides compatibility with various data storage systems within the Hadoop ecosystem such as HDFS and HBase, and enables easy real-time big data analysis by connecting to NoSQL databases such as MongoDB

  • Operation manager home screen setup

You can check the data collection status that shows the status of data collected and stored in real time and the list of dashboards that can be viewed by the operation manager

  • R language connection feature

Supporting the connection with R allows it to perform statistical analysis, such as correlation analysis, multivariate analysis, and regression analysis

  • Complex event processing (CEP) of stream data feature

When pre-registered patterns are detected in stream data collected and indexed at high speed, it can automatically notify the manager and respond to it. It provides a feature that enables real-time monitoring and early response analysis on specific events such as security, fraud detection, and signs of equipment abnormalities

Main engine screen

Screen Shot 2020-07-20 at 10.10.13