Case Study | How BYD Accelerated Battery Analytics by 200x with DolphinDB

FinDreams Battery (BYD's battery manufacturing arm) just achieved a major breakthrough in real-time data analytics with DolphinDB.

The numbers tell the story: 1+ million data points processed per second , millisecond-level analytics on trillion-record datasets , and a 200x performance improvement that's revolutionizing how one of the world's leading EV battery manufacturers operates.

Most importantly? Sub-100ms monitoring response times now give BYD's R&D teams the instant, data-driven insights they need to accelerate innovation while maintaining the highest safety standards.

The Challenge: Scale Meets Precision

As BYD's core battery manufacturing unit, FinDreams Battery operates cutting-edge testing facilities that generate massive experimental datasets — we're talking trillions of annual records capturing voltage, current, temperature, internal resistance, and capacity degradation across their operations.

This data volume and complexity created two mission-critical challenges:

1. Real-time performance monitoring demanding nanosecond-precision time-series processing and multi-dimensional correlation analysis across all devices
2. Instant historical queries — accessing up to 10 years of data with sub-second response times to keep R&D teams moving at speed

The combination of massive scale and precision timing requirements pushed traditional database architectures beyond their limits.

Breaking Point: When MySQL Couldn't Scale

The lab's existing MySQL-based architecture was buckling under the data demands of both real-time monitoring and historical analysis. Even with sharding and partitioning optimizations, critical performance gaps emerged:

• Real-time sync failures: With experimental devices pumping out 1+ million data points per second, MySQL's CDC mechanism created 10+ second delays — completely defeating real-time analysis capabilities.
• Safety-critical monitoring gaps: Dependence on offline batch processing meant multi-second delays in detecting dangerous anomalies like voltage spikes or temperature surges — unacceptable delays when experiment safety is at stake.
• R &D velocity killer: Historical data queries that researchers needed for decision-making were taking several minutes due to complex multi-table joins — turning quick insights into lengthy waits.

The verdict was clear: sync delays, alert lag, and query slowdowns were strangling innovation. BYD needed infrastructure built for high-frequency ingestion , real-time processing , and instant historical access at unprecedented scale.

The DolphinDB Solution

Following comprehensive evaluation, FinDreams Battery selected DolphinDB to architect their next-generation real-time analytics infrastructure. The platform was designed around three non-negotiable requirements:

• 1+ million records/second real-time synchronization
• Millisecond-level monitoring and alerting
• Second-level queries across trillion-record datasets

Using DolphinDB's streaming engine , distributed architecture , and ultra-low latency CDC , the team achieved end-to-end pipeline optimization from data ingestion to actionable insights.

Breakthrough #1: Instant Data Availability

Integrated Flink CDC creates a high-throughput pipeline from MySQL and other sources directly into DolphinDB. Sync latency dropped from 10+ seconds to under 100ms — transforming data availability from delayed to instant.

Breakthrough #2: Real-Time Monitoring and Alerts

DolphinDB's native streaming framework replaced batch processing. With 10+ streaming engines , the platform executes complex rules (threshold alerts, anomaly detection, pattern matching) in sub-100ms — catching critical issues before they become problems.

Breakthrough #3: Trillion-Level Data Querying in Seconds

Distributed storage with intelligent partitioning revolutionized query performance. Partition pruning optimization eliminates unnecessary data scans, transforming multi-minute historical queries into second-level responses — keeping researchers in the flow of discovery.

Game-Changing Results

The DolphinDB deployment at FinDreams Battery Lab unlocked significant performance gains and helped the team tap into the full value of their data.

Technical Milestones

• 200x improvement in processing efficiency
• Experimental report generation time cut from 5 minutes to under 5 seconds
• Real-time alerts now delivered with < 100ms latency

Strategic Value

By enabling real-time monitoring and fast access to years of historical data, DolphinDB has empowered FinDreams Battery to make more timely, data-informed decisions in critical areas of R&D. Trillions of records that were once slow to access are now part of an agile analytics ecosystem — helping BYD move faster, stay safer, and stay ahead in battery innovation.

This isn’t just about faster queries — it’s about smarter, more responsive R&D. And it’s already live in production.