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Explore railway APU telemetry in Machbase Neo with rollups, transparent health scores, and an Evidence API that makes every result traceable.

How Is Storage Optimized in a Time-Series Database? We can examine storage optimization from two perspectives: the time required to process data and the space required to store it. To reduce ingestion and retrieval time, techniques include buffered I/O, storage layouts with strong data locality, and caching. Buffered I/O improves ingestion speed by collecting data in memory by partition and then writing it to files. Machbase tag tables improve query speed by keeping related d

Smart-home concept diagram (source: Visioforce Automation System) Advances in communication technology and expanding networks are connecting more devices, creating a new environment for data processing. Together, 5G and wider Wi-Fi adoption are expanding the Internet of Things beyond the capabilities of earlier generations. More specialized devices can transmit, collect, and process data effectively. Smart Home A smart home uses communication between devices to support automa

Andrew Sungjin Kim, CEO of Machbase Ten Years Have Already Passed It has been ten years since I founded Machbase. After spending many years developing in-memory database engines, I became fascinated by the big-data era and convinced that “machine data,” as we called it in 2013, would eventually outnumber ordinary transaction data. Back in 2013, Splunk and similar products were gaining momentum for log data, while Hadoop was attracting enormous attention for unstructured data

마크베이스 네오를 통해 시스템의 메트릭을 수집하고, 이를 모니터링, 알람 처리 등의 작업이 가능한 서비스를 구축해 본다. 이를 통해 데이터 수집부터 저장, 처리, 시각화까지 가능한 통합 시계열 데이터베이스인 네오의 강점을 이해한다.

Andrew Sungjin Kim, CEO of Machbase If this is your first article in the series, I recommend reading Parts 1 and 2 first. The Architecture at a Glance The diagram below shows the architecture Machbase is working toward. Let us examine its components and the ideas behind them. An architecture for micro data lakes Transparent Data Access for Users If I had to choose one phrase to summarize this series, it would be “transparent data access.” That is the central idea behind every

Introduction Advances in information and communications technology (ICT) have made digital transformation an important part of business innovation. In manufacturing, this transformation is often described through the concept of the smart factory. When learning about smart factories, unfamiliar terms such as PLC and SCADA can be an immediate obstacle. Rather than studying each term in isolation, it is often easier to understand its role within the overall system. ISA-95 provid

The previous API focused on connecting Machbase Neo with Python. API v2.0 expands that focus to the functions needed for AI development in Python, making code more concise and development faster. From data analysis to model building, it provides tools to improve productivity and streamline AI workflows. Here are the main features. API v2.0 organizes its functions into five categories aligned with the AI development process. Each category is designed to make development easier

Data volumes are growing rapidly. Industrial IoT and AI continuously generate time-series data, while storage is limited and processing speed is critical. Efficient compression is therefore essential. It does more than save space: it can improve speed, reduce costs, and make data more useful. This article explains the core strategies. Why Efficient Compression Matters Data is a valuable resource, but extracting its value requires the right tools. Time-series data accumulates