Tech

Altibase Open-Sourced its Sharding Technology to Offer High-Scalability to big Enterprises

Published

7 years ago

July 22, 2019

Altibase announced about open-sourcing of sharding, a scale-out technology it offers. Paul Nahm, Altibase chairman shared that sharding has a unique design, adoptability, and cost-effectiveness, which is why it is a technological breakthrough. He said that Altibase open-sourced its sharding technology to ensure high scalability which is not the case with other relational databases.

Richard Nahm, the CMO of Altibase, added that due to the increasing data size of enterprises, it has become imperative for them to reduce the IT expenditures by ensuring high scalability. He also said that every database should provide a facility for increasing scalability in the time of big data and cloud computing.

Usually, sharding technologies requires coordinators which manage and administer the nodes between servers. However, the coordinators themselves reduce the performance of the entire system by acting as a bottleneck. But Altibase’s sharding technology solves this problem as it has been designed in such a fashion to reduce the use of coordinators to a large extent. This prevents the deterioration of a system’s performance which helps to speed-up its performance. This allows the users to add any number of servers as per the need without deteriorating the performance due to coordinators.

With the use of Altibase’s sharding technology, it has become possible for big enterprises to scale out their systems at a reasonable cost. This simply prevents the need to buy expensive and high-end servers to handle big data, said Paul Nahm. Various major enterprises have been adopting Altibase’s sharding technology and its popularity has increased significantly since Altibase made it available as an open-source technology.

Tech

Evo Tech Reveals New Features for Evolution AI to Improve Threat Detection

Published

20 hours ago

April 1, 2026

Jonathan Grilli

Photo Courtesy of: Evo Tech

Byline: Mae Cornes

MADISON, Wis— Evo Tech announced new updates to its flagship platform, Evolution AI, designed to enhance threat detection and real-time data analysis for intelligence, security, and law enforcement agencies. The upgraded system introduces expanded capabilities in pattern recognition, automated alerts, and data aggregation to improve response accuracy in critical operations.

The company’s latest release focuses on enabling faster identification of potential threats across multiple data streams, including text, imagery, and audio inputs. By combining adaptive machine learning models with advanced verification tools, Evolution AI now provides a more precise and scalable method for detecting irregular or suspicious activity.

“Security challenges are growing more complex as data sources multiply,” said Maria Pulera, Evo Tech’s representative. “Our goal with these new features is to help agencies detect threats earlier and reduce the time between data discovery and action. These tools are built to support real-world decision-making in fast-moving environments.”

Among the new enhancements are:

Automated Threat Classification: The platform can now categorize potential risks based on severity and relevance, allowing analysts to prioritize investigations more effectively.
Cross-Platform Data Fusion: Evolution AI aggregates data from both structured and unstructured sources, presenting analysts with unified, real-time insights across visual, audio, and textual inputs.
Adaptive Anomaly Detection: Using machine learning, the platform learns from historical data to recognize unusual activity patterns and flag potential security concerns automatically.
Enhanced Visualization Tools: New dashboard designs allow users to view correlations, track trends, and monitor data sources simultaneously with improved clarity.

Evo Tech’s development team designed these upgrades to help intelligence and defense organizations address increasing information volume and data fragmentation. According to industry reports, global data generation is expected to exceed 175 zettabytes annually by 2026, underscoring the need for advanced analytical tools that can handle large-scale, multi-format data securely.

Pulera added, “Our technology aims to reduce the manual burden on analysts while maintaining the highest standards of data integrity. We’ve focused on features that allow agencies to operate more efficiently without compromising security.”

The company’s engineering team also confirmed that Evolution AI’s infrastructure supports deployment in secure, private networks, aligning with the data protection requirements of defense and intelligence clients. Evo Tech plans to continue rolling out additional modules throughout 2025, with a focus on multilingual data analysis and predictive threat modeling.

Evo Tech’s latest updates come as governments and private institutions invest heavily in AI-driven security technologies. Market forecasts from MarketsandMarkets estimate that AI in defense and security applications will surpass $13 billion by 2028, reflecting a growing global emphasis on automation and early threat detection.

About Evo Tech
Evo Tech is an artificial intelligence company specializing in data analysis and intelligence automation for security and defense operations. Its flagship platform, Evolution AI, integrates machine learning, big data processing, and adaptive analytics to enhance decision-making in high-volume, high-security environments. The company’s mission is to deliver reliable, real-time solutions that strengthen operational efficiency and intelligence accuracy across the public and private sectors.

Contact Information:

Maria Pulera, Representative

EVO Tech

https://evoai.tech/

[email protected]