Users can publish interfaces by filling in SQL or anonymous blocks to achieve real-time data sharing and exchange between different application systems, avoiding tedious interface development work and point-to-point database direct connection. Based on the virtual data lake, KShare can perform dynamic real-time desensitization for third-party applications and RESTful API services to avoid security risks such as data leakage.

✔Flexible and secure data architecture: Improve data compliance and security through unified access control and metadata management.

✔Real-time analysis and sharing of multi-source data: Supports multiple analysis tools to achieve real-time data insight and sharing among different application systems.

✔ Reduced operation and maintenance costs: By filling in SQL or anonymous blocks to publish interfaces externally, cumbersome interface development can be avoided, significantly reducing IT expenses.

KLake is designed based on the Data Fabric architecture. In the KLake platform, data is neither moved nor stored. The platform is based on a SQL engine based on a massively parallel processing (MPP) architecture, which weaves together multiple heterogeneous database systems (including Cache/IRIS) within an organization to form a unified database system logically. Through standard SQL, KLake can implement functions such as real-time cross-database query and cross-database data transmission .

Through AI-driven metadata discovery and governance tools, the table structure, field meaning and relationship of each database can be automatically identified, reducing the workload of manual configuration and improving the accuracy of data views.

✔Quickly integrate multiple data sources: Supports multiple data sources such as Hadoop, AI vector database, relational database, etc. without complex configuration.

✔ Real-time data access: millisecond-level response capabilities meet the dynamic and real-time needs of the business.

✔ Reduce costs and complexity: Avoid data duplication and redundancy, greatly reduce the pressure on production libraries and reduce operation and maintenance expenses.

KTuner allows users to analyze, locate and solve issues related to database performance.

KCare database alarm platform, real-time panoramic database monitoring and alarm

✔ Automated inspection and diagnosis: Reduce 80% of repetitive operation and maintenance work, allowing the operation and maintenance team to focus on high-value tasks with greater peace of mind.

✔Quick response and repair: shorten the troubleshooting time from hours to minutes, significantly improving the security efficiency.

✔Reduce the need for hardware expansion: Save a lot of hardware costs through precise optimization.

✔Avoid business losses and reputation risks: Early warning of performance risks to avoid significant losses caused by failures.

✔Knowledge base and optimization report: Accumulate expert experience, improve team capabilities, and reduce dependence on manual experience.

✔ Standardized governance system: Through baseline establishment and audit reports, a closed-loop system of performance management is formed.

KAid remote assistance and connection, as the KAid component in KTuner, acts as a bridge to quickly connect people, things, and devices, that is, to effectively connect the database site environment with problems , the engineers who handle the problems, and the necessary analysis and processing tools.

✔No complex configuration, no installation, no registration, all WEB-based

✔ Allow assistants to assist remotely anytime, anywhere, shortening emergency handling time

✔When encountering major problems, timely form a joint force of resources from all parties to quickly and accurately locate the root cause of the problem