This page was machine-translated and may differ from the original. View original
Support for complex stream analysis of real-time big data
Idiome, a provider of data-driven infrastructure technology and solutions, announced on the 21st 'Logpresso 3.0' with enhanced real-time big data analysis performance and advanced analysis capabilities.

Logpresso is a domestic real-time big data solution that can handle the entire process from collecting, storing, analyzing, and visualizing various data generated from IT infrastructure with a single engine.
Logpresso is expanding its application areas across various industries, including finance, communications, and the public sector, and is being used for various purposes, including compliance, real-time analysis of service quality data, detection of personal information leaks, and analysis of communication logs up to 20 TB per day.
Logpresso 3.0 features a field index that provides search performance 10 times higher than before, stream join and multi-pattern matching that can perform real-time association analysis, and various analysis functions for advanced analysis. Compared to existing products, real-time analysis and search performance have been improved, and analysis functions that can perform analysis of complex conditions have been strengthened.
Idiom CEO Yang Bong-yeol said, “Due to the rapid growth of the IoT market, the types and volume of data generated from IT infrastructure are becoming incomparably large.” He added, “Logpresso flexibly integrates the entire data analysis process from data collection to storage, analysis, and visualization, and provides differentiated real-time big data analytics.”“We will satisfy the rapidly increasing demands for real-time big data analysis by providing data analysis technology and innovatively improved data processing performance,” he explained.
Field indexing for 10x or more improved search performance
Logpresso 3.0 leverages the newly introduced field index to deliver search performance more than 10x better than the existing full-text index, enabling faster data analysis. The field index offers superior search performance with various improvements, including reduced I/O and support for range searches using type encoding.
At one domestic telecommunications company, over 7 TB of data is generated daily from over 10 million users. The introduction of field indexing allows for a full analysis of 15 days' worth of data within 20 minutes, enabling faster detection of malware infections on user devices and minimizing damage caused by malicious apps.
Stream join, multi-pattern matching, and CEP engines for real-time big data analytics.
Logpresso 3.0 offers stream join capabilities for real-time data join analysis, multi-pattern matching for high-speed matching of thousands of patterns, and event analysis using the CEP engine. These capabilities enable real-time join analysis, pattern matching, and event analysis of big data.
One bank, for example, introduced Logpresso to detect abnormal transactions within 0.1 seconds by comparing transfer transactions against over 50 patterns and two years of activity history. This has enabled us to block various abnormal transactions arising from various financial frauds.
Support for a variety of functions and unlimited data-volume joins and nested joins for advanced analysis.
Logpresso 3.0 provides various functions for advanced analysis, enabling various predictive analyses and clustering based on big data.
Additionally, it supports unlimited joins and nested joins, enabling complex scenario analysis based on heterogeneous data. This allows you to combine various items, such as DLP leak detection, DRM decryption, print logs, and personnel information, to create internal control anomaly detection rules and scenarios to quickly detect various abnormal behaviors.
Idiome actively reflects the diverse needs of Logpresso customers and has improved the entire process, from data collection to storage, analysis, visualization, and management, including remote agent upgrades, permission management for distributed environments, and security group management. Leveraging this improved environment, customers can reduce the overall cost of data analysis while maintaining the security of their critical data.
The launch of Logpresso 3.0 will not only solidify its position as a real-time big data solution that guarantees the highest performance, but will also accelerate the expansion of Logpresso into a form that is optimally suited to the market environment where the importance of analytics is growing.
Idiome, a provider of data-driven infrastructure technologies and solutions, offers a variety of ways to create value and solve problems based on data. For more information, visit our website (http://logpresso.com).
Idiome, a provider of data-driven infrastructure technology and solutions, announced on the 21st 'Logpresso 3.0' with enhanced real-time big data analysis performance and advanced analysis capabilities.

Logpresso is a domestic real-time big data solution that can handle the entire process from collecting, storing, analyzing, and visualizing various data generated from IT infrastructure with a single engine.
Logpresso is expanding its application areas across various industries, including finance, communications, and the public sector, and is being used for various purposes, including compliance, real-time analysis of service quality data, detection of personal information leaks, and analysis of communication logs up to 20 TB per day.
Logpresso 3.0 features a field index that provides search performance 10 times higher than before, stream join and multi-pattern matching that can perform real-time association analysis, and various analysis functions for advanced analysis. Compared to existing products, real-time analysis and search performance have been improved, and analysis functions that can perform analysis of complex conditions have been strengthened.
Idiom CEO Yang Bong-yeol said, “Due to the rapid growth of the IoT market, the types and volume of data generated from IT infrastructure are becoming incomparably large.” He added, “Logpresso flexibly integrates the entire data analysis process from data collection to storage, analysis, and visualization, and provides differentiated real-time big data analytics.”“We will satisfy the rapidly increasing demands for real-time big data analysis by providing data analysis technology and innovatively improved data processing performance,” he explained.
Field indexing for 10x or more improved search performance
Logpresso 3.0 leverages the newly introduced field index to deliver search performance more than 10x better than the existing full-text index, enabling faster data analysis. The field index offers superior search performance with various improvements, including reduced I/O and support for range searches using type encoding.
At one domestic telecommunications company, over 7 TB of data is generated daily from over 10 million users. The introduction of field indexing allows for a full analysis of 15 days' worth of data within 20 minutes, enabling faster detection of malware infections on user devices and minimizing damage caused by malicious apps.
Stream join, multi-pattern matching, and CEP engines for real-time big data analytics.
Logpresso 3.0 offers stream join capabilities for real-time data join analysis, multi-pattern matching for high-speed matching of thousands of patterns, and event analysis using the CEP engine. These capabilities enable real-time join analysis, pattern matching, and event analysis of big data.
One bank, for example, introduced Logpresso to detect abnormal transactions within 0.1 seconds by comparing transfer transactions against over 50 patterns and two years of activity history. This has enabled us to block various abnormal transactions arising from various financial frauds.
Support for a variety of functions and unlimited data-volume joins and nested joins for advanced analysis.
Logpresso 3.0 provides various functions for advanced analysis, enabling various predictive analyses and clustering based on big data.
Additionally, it supports unlimited joins and nested joins, enabling complex scenario analysis based on heterogeneous data. This allows you to combine various items, such as DLP leak detection, DRM decryption, print logs, and personnel information, to create internal control anomaly detection rules and scenarios to quickly detect various abnormal behaviors.
Idiome actively reflects the diverse needs of Logpresso customers and has improved the entire process, from data collection to storage, analysis, visualization, and management, including remote agent upgrades, permission management for distributed environments, and security group management. Leveraging this improved environment, customers can reduce the overall cost of data analysis while maintaining the security of their critical data.
The launch of Logpresso 3.0 will not only solidify its position as a real-time big data solution that guarantees the highest performance, but will also accelerate the expansion of Logpresso into a form that is optimally suited to the market environment where the importance of analytics is growing.
Idiome, a provider of data-driven infrastructure technologies and solutions, offers a variety of ways to create value and solve problems based on data. For more information, visit our website (http://logpresso.com).
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.


















