CirroData-OLAP Distributed Analytical Database: Designed for massive data warehousing, business analysis, and regulatory reporting scenarios, it supports large-scale data storage, batch processing, and high-performance SQL queries, helping customers improve efficiency in complex statistics, multi-dimensional analysis, and report response.
CirroData-HTAP Hybrid Transactional/Analytical Processing Database: Designed for business systems that require both transaction processing and analytical queries, it enables online business data to enter the analysis pipeline in a timely manner, reducing repeated synchronization between transactional and analytical databases and enhancing real-time business insight capabilities.
CirroData-MDC Cross-Domain Collaboration Engine: Designed for headquarters-branch, multi-data-center, and heterogeneous big data platform scenarios, it supports collaborative queries across components such as Hive, Spark, Flink, HBase, and Kafka, enabling cross-domain unified management, collaborative operations, and hybrid analysis.
CirroData-RT Real-Time Database: Designed for real-time data collection, ingestion, computation, and service scenarios, it supports second-level data processing and application invocation, suitable for real-time monitoring, real-time marketing, and risk early warning.
CirroData-TimeS Time-Series Database: Designed for IoT, industrial equipment, energy facilities, and sensor data storage scenarios, it supports high-speed writing, compressed storage, and trend analysis of massive time-series data, supporting device monitoring, energy consumption analysis, and predictive maintenance.
CirroData-Graph Graph Database: Designed for complex relationship data analysis scenarios, it supports modeling and querying of entities, relationships, and paths, suitable for customer relationships, risk propagation, knowledge graphs, social networks, and public safety correlation analysis.
