Digital China serves as a crucial engine for modernization and a competitive differentiator in the digital era. Accelerating its development is vital for national rejuvenation.
Aligned with the national "2522" framework, we focus on dual Foundations: Robust data infrastructure & resource systems; Five-Sphere Integration: Embedding digital tech across economic, political, cultural, social, and ecological domains
Our KeenData Lakehouse platform delivers end-to-end data capability building through: Unified Data Foundation- Integrated infrastructure and resource systems; Data Value Activation-unlocking data element potential for competitive advantage
Keen BDPData Development Management
Provides comprehensive managed workflow services and one-stop development management functions, empowering enterprises to build and manage big data capabilities across the entire chain, achieve comprehensive data asset management, and establish private big data centers.
View DetailsKeen AssetData Asset Catalog
Enterprise's unified data asset portal, serving as a map of enterprise data assets, can provide data information queries for various enterprise roles, trace data origins and specific processing calculation logic; data assets are automatically accumulated during data development and construction, requiring no manual maintenance.
View DetailsKeen StreamReal-time Computing
Provides a fully visual, easy-to-use, high-throughput, high-fault-tolerance, one-stop streaming data computing and processing platform, supporting SQL for real-time data cleaning, data analysis, and data synchronization, with comprehensive monitoring mechanisms ensuring the accuracy of streaming computing. Can support enterprise real-time data warehouse construction, real-time data dashboards, real-time reporting, and other enterprise real-time data processing scenarios.
View DetailsKeen DsyncData Synchronization
One-stop data synchronization product for enterprise multi-source data integration. Solves data interaction and synchronization problems between complex heterogeneous data sources such as relational databases, non-relational databases, big data platforms, and file systems within enterprises under high concurrency of large data volumes, achieving unified data sharing and distribution within enterprises.
View DetailsKeen DaaSData Service
Data service publishing center, seamlessly connecting with business production systems, solving the last-mile data usage problem. Supports quick service API creation through SQL and drag-and-drop methods, providing complete API lifecycle management, including creation, maintenance, publishing, operation, monitoring, and decommissioning.
View DetailsKeen DSPData Science
Provides a highly automated and easy-to-use machine learning algorithm platform, helping users quickly build and deploy high-precision machine learning models, improving data mining productivity, and helping enterprises transition from the BI era to the AI era.
View DetailsKeen DSMData Standard
Supports standard, code, naming dictionary, and measurement unit upload and download, supports direct generation of standards from existing business library metadata assets, convenient and flexible application, and easy integration with data platforms.
View DetailsKeen IndexData Index
The index platform is positioned as an enterprise-level one-stop indicator management platform, capable of organizing a complete indicator system for enterprises and establishing a unified index management center, providing main functions such as index management, standard definition management, and model management, clearly depicting the entire process of enterprise index data from caliber, source, calculation, storage, to application, providing data sharing, standardized management, and unified caliber guarantee for various index data in business decision-making, regulatory reporting, risk management, and financial management.
View DetailsKeen TAGData Tag
The tag platform is positioned as a big data enterprise-level user data analysis platform, providing user feature exploration and profiling capabilities, completing user identification, clustering, and segmentation, viewing the evolution process of tags throughout their lifecycle through feature changes, with main functions including tag processing and production, user profiling and profile analysis, tag group management, and access to multiple data sources. Continuously empowering enterprise business innovation.
View DetailsKeen KDPBig Data Foundation
KeenData Technology provides enterprise customers with visual deployment, management, monitoring, and operation and maintenance capabilities for big data service components and big data nodes.
View DetailsKeen MDMMaster Data Management
The master data management platform covers the entire lifecycle management of master data standards, quality, collection, application, addition, change, review, activation, deactivation, and distribution. Through its high availability, it helps enterprises quickly build master data systems, ensures consistency of master data across business systems, and improves enterprise operational efficiency.
View DetailsKeen DQMData Quality Management
Full-process intelligent data quality audit center, running through the entire data processing process, providing multi-dimensional quality audit service capabilities for completeness, accuracy, uniqueness, standardization, and timeliness.
View DetailsAs a leading provider of domestic core data infrastructure software, Keentech drives innovation in China's big data technology landscape. With growing enterprise data demands outpacing open-source capabilities, and traditional architectures struggling with modern hardware advancements, we pioneer indigenous solutions to replace foreign databases and big data products.Our ITAI Commitment: Full Ecosystem Integration-ertified compatibility with key partners including Huawei Kunpeng, KylinOS, Kingbase, UOS, Dameng, Hygon, EsgynDB, Phytium, Red Flag OS, Nanda General, Inspur, Yonyou, and Borland; Robust IP Portfolio-150+ patents and software copyrights in big data domains; And Universal Deployment-Supports all mainstream cloud platforms (public/private/hybrid), X86/ARM/MIPS architectures, and storage engines (CDH/HDP/Hadoop/KDP).Through continuous technological breakthroughs, KeenTech advances China's data infrastructure sovereignty while powering the Digital China initiative.
KeenData Lakehouse adopts a new lake-warehouse integrated big data technology architecture, fully integrating the advantages of data lakes and data warehouses, achieving seamless scheduling and management of one set of data and one set of tasks across lakes and warehouses. Through technological innovations such as lake-warehouse integration, batch-stream integration, storage-computation separation, and multi-modal fusion, it achieves PB-level multi-modal data storage and processing, possessing elastic scaling, high availability, high concurrency, and low-latency cloud-native capabilities. Based on the unified metadata storage architecture, it optimizes streaming computing and data lake ingestion performance, supports unified storage of structured, semi-structured, and unstructured data, inherits RDBMS database functionality and ACID characteristics, supports industrial SQL standards, and hybrid MPP+DAG computing engines, providing a unified development experience for data analysis, processing, and mining.
KeenData Technology's self-developed lake-warehouse integrated data intelligence platform KeenData Lakehouse is fully compatible with large models. Through this advanced artificial intelligence technology, it further accelerates enterprise intelligent development processes, greatly improving enterprise efficiency and accuracy in data intelligence development, intelligent Q&A, and intelligent retrieval application scenarios. KeenData Lakehouse also ensures data security during processing, storage, transmission, and usage, providing strong support for enterprise decision-making.
KeenData Technology's data foundation product KeenData Lakehouse has achieved integration processing technology for over twenty storage engines, providing unified computing engines, unified data exploration and analysis, and unified asset management capabilities, achieving unified data sharding, replication, access, transaction management, and multi-storage engine compatibility capabilities in one data management system, enabling faster development of different model storage engines with advanced model extensibility. The data foundation platform based on new technology achieves rapid access, efficient computing, and unified management of PB-level multi-source heterogeneous data, one-stop solving various enterprise data management needs, helping enterprises transition from single architecture to multi-architecture integration, and data from physical unity to logical unity.
KeenData Technology actively participates in discussions and technical standard development for "Enterprise Digital Intelligence Capability Maturity Model (EDMM)", DataOps, Data Middle Platform, and Lake-Warehouse Integration.
In December 2021, KeenData Technology's product matrix passed the "Big Data Product Capability" evaluation by China Academy of Information and Communications Technology.
In June 2022, KeenData Technology's data intelligence platform product KeenData Lakehouse completed the "Cloud-Native Data Lake Capability Evaluation" by China Academy of Information and Communications Technology.
In December 2022, KeenData Technology was among the first to pass the "Cloud-Native Lake-Warehouse Integration Capability" special evaluation by the Ministry of Industry and Information Technology's China Academy of Information and Communications Technology.
As China's "Digital China" strategy advances, data's role as a new production factor grows. Kejie's data infrastructure solution supports full-data lifecycle management via a secure platform. This infrastructure is a new integrated service system covering hardware, software, and standards, driving data property rights and circulation alongside policy implementation.
Trusted Data Space is a new infrastructure and ecosystem for secure data circulation, unleashing data value through trusted sharing. As a key national initiative, KeenData Lakehouse provides end-to-end data management, large-scale collaboration, and AI capabilities for all ecosystem players, powering mass data application.
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