Why IoTDB Is Written in Java: A Decade of Engineering Trade-offs
Why build a high-performance time-series database in Java—despite the common belief that Java is “too slow” or “unsuitable” for database systems? Drawing on nearly a decade of hands-on experience developing Apache IoTDB, this article revisits the long-standing debate between Java and database systems. From ecosystem maturity and code maintainability to operability, portability, performance, edge deployment, and talent scalability, we explain why Java is not only viable—but often a pragmatic choice for building production-grade database systems.
2026-02-10
Looking for One Answer, Ending Up with Ten Tabs?
Ask AI is a built-in assistant on the Apache IoTDB website that helps users locate precise, project-specific answers across documentation and GitHub—especially when traditional search falls short.
2026-02-05
Time Series Databases Explained: Data Mining Methods and Analytical Strategies
As organizations increasingly generate time-dependent data from IoT devices, financial systems, industrial sensors, and digital platforms. Technologie
2026-01-06
InfluxDB TSDB Format vs Traditional TSDB Models: Key Differences Explained
As time series datasets continue to grow across domains such as IoT, finance, manufacturing, and cloud infrastructure, choosing an appropriate TSDB mo
2026-01-06
Top Benefits of Using Time-Series Databases in Healthcare Data Management
The healthcare industry is undergoing a significant digital transformation, driven by the explosive growth of real-time data from electronic health re
2026-01-06
Time Series Database Tutorial for Beginners: How to Build and Query TSDB Like a Pro
Creating and querying a time series database and becoming proficient at it is an essential skill set for all software developers, data engineers, and
2026-01-06
Practical Comparison of Time-Series Databases Tech for Government and NGO Applications
In data-driven operations that are accelerating across the public and nonprofit sectors, organizations are increasingly aware of a critical need: choo
2025-12-09
How Time-Series Databases for Financial Firms Improve Market Data Processing Speed
In today's high-speed trading, investment analytics, and risk management, financial institutions depend on their ability to capture, store, and proces
2025-12-09
Top Benefits of Using an In-Memory Time Series Database for Real-Time Analytics
As organizations head toward real-time decision-making, demands for high-speed, reliable, and high-throughput data processing have increased dramatica
2025-12-06
How to Optimize API TSDB Query for Faster Time Series Data Processing
With modern digital systems, efficient time series data processing has become a key requirement for organizations. Whether it is IoT telemetry, indust
2025-12-06
