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Company News2026-7-29

Our database product ensures core data security and critical performance for our proprietary products.

Domestic substitution in the Xinchuang ecosystem relies on database products. Across industries, there is a need for databases that enable high-performance data storage and access architecture upgrades or integrations without modifying existing applications. Additionally, industries require domestic database solutions to address the challenges of continuously expanding enterprise data volumes in the digital era, specifically offering compatibility and improved cost-efficiency compared to traditional databases.

(1) This product employs a tiered data management strategy based on hot and cold partitioned data. It innovatively integrates an in-memory database architecture with a disk-based database for non-hot data, creating a cutting-edge data storage and access framework. This approach combines architectural advancement with application innovation, effectively addressing the high costs associated with clustered databases.

(2) Innovative patent-pending vertical sharding of data tables and in-memory indexing for differential engines decouples real-time workloads from slow I/O, resolving the core space-time trade-off in traditional database ecosystems. This achieves industry-leading decoupling of memory from compute/storage, enabling further memory pooling across multiple tiers and delivering order-of-magnitude improvements in system elasticity.

(Innovatively developed a differential engine technology using configurable memory data hot/cold aging and tiered separation. This enables massive single-table logical space to be managed via a unified mirror—supporting tens, hundreds, or even trillions of rows without sharding, while maintaining consistent performance at scale.)

(4) Implements a new SQL Cost-Based Parallel Optimizer that leverages statistics and syntax cost analysis to determine the optimal execution plan. Provides full parallel operator support, including complex multi-level nesting, intersection/union joins, and large-scale union structures. Introduces load-adaptive capabilities for dynamic adjustments based on resource usage, such as falling back to serial execution or reducing parallelism.

(5) Innovative autonomous indexing algorithm technology enables billion-scale data localization jump scanning within 30 iterations, fully independently implementing single and multi-level indexing, and achieving complete autonomous transaction closure.


Pagination efficiency for 5000k review queries

The SQL is as follows:

SELECT id, aisle, event_type, status FROM bus_early_warn_result WHERE

is_deleted = 0

AND Create_time >= '2026-07-24 00:00:00' AND Create_time < '2026-05-25 00:00:00'

AND event_type IN ('rlsb01', 'ruqin', 'xiyan', 'FFRQ', 'YHJC', 'ZYXFCD', 'RYJJ', 'dajia', 'person', 'ppsj')

AND type != 'face'

(6) A fully self-developed domestic Java-based high-concurrency SQL query engine package. Built with JVM technology, it is a next-generation database engine delivering instruction-set and system-level cross-platform compatibility.

Shanghai ICP License No. 2022031038-1