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Data volumes are growing rapidly. In industrial IoT and AI, new data arrives continuously. How can we process it quickly and efficiently? A high-speed time-series DBMS offers an answer. It does more than store data: it organizes the flow of information and accelerates analysis. Like a dam managing a powerful river, it helps handle a continuous stream of data. This article explains the benefits of adopting such a system and the practical steps involved. Building a Fast Databas

Sungjin Kim, CEO of Machbase If this is your first article in the series, please read the following installments first. [Edge Computing Series #1] The Rise of Micro Data Lakes [Edge Computing Series #2] Characteristics of Micro Data Lakes [Edge Computing Series #3] The Architecture of Micro Data Lakes Introduction This article explains a working micro data lake implemented by Machbase and the components of its architecture. Ideally, we would describe a customer deployment, bu

What if you could use SQL to put locations directly on a map instead of deciphering complex coordinates? Introducing GEOMAP(), a feature that may make you ask, “Can it really do that?” Introducing GEOMAP A geomap displays measurements as overlays and charts on a geographic map. From Machbase Neo v8.0.44, GEOMAP() lets you query stored location data—such as GPS coordinates or latitude and longitude—with SQL and display it directly on a map instead of as difficult-to-read numbe

클로드 MCP를 Machbase Neo에 연동하고, AI스럽게 사용해보기

In this post, we explore the use of time-series DBMSs on edge devices in the weapons systems of South Korea’s defense industry, often known as K-defense. Edge devices and edge computing To discuss K-defense weapons systems, we first need to consider the global shift in how data is processed. That shift is edge computing. Where the main approach used to be moving all data to the cloud for processing, more of that processing is now taking place on endpoint devices. There are th

Background There is a question Machbase customers often ask: If backup files from Machbase are stored in Amazon S3, can we access them directly? Machbase’s backup and mount technology, patented in both the United States and Korea, is one of its most distinctive and powerful data management capabilities. When we originally designed the product, however, we had not envisioned storing backup files in a cloud service such as Amazon’s. If backups were stored in an inexpensive serv

Machbase NEO V8.5 ushers in the era of AI agents Is your data piling up while you struggle to use it to automate your work? Until now, database management systems (DBMSs) have followed a human-centered model: people had to write SQL and explore data manually before anything could happen. That era is changing. As AI agents become the users of databases, Machbase is at the center of this transformation. At 10 a.m. on April 27, 2026, Machbase NEO V8.5 officially launches: next-g

Anyone responsible for data at an industrial site has probably faced questions like these: “How many gateways and middleware packages do I need to install just to collect PLC data?” “If a transfer between servers stops midway, how can we recover the missing data?” “Collection servers, database servers, analytics engines… managing all of them is becoming overwhelming.” Industrial sites are getting smarter, but the way we handle their data remains complicated. And complexity le

We’re excited to share the innovative update so many of you have been waiting for! Machbase NEO V8.5 goes beyond faster data storage: it gives the database engine “eyes” through Black-box and a “brain” through LLMs. Bring previously disconnected video and sensor data together, and discover a new way of working—gaining insights through conversation with AI, without complex queries. NEO V8.5 App Packages, Part 3 Black-box & LLM *Click the image to watch the corresponding video.