#1 TPCx-IoT 24M/s PLC Data 17M/s Water Resource Data 150+ Clients
Without data, AI cannot do anything.
Why is it difficult to directly utilize field data in AI?
Missing original data
01
Do you have 2 to 3 years' worth of original equipment data?
If high-frequency sensor data disappears from the equipment and files, AI rediscovers the cause of failures and quality issues
Cannot learn.
slow and incomplete query
03
Queries that take minutes or data reduced to samples cannot support real-time decisions and repeated training.
Time axis of unintegrated data
02
When sensor data, logs and video follow different timelines, you cannot reconstruct an event’s context or cause and effect.
PoC that does not lead directly to production
04
If collection, transformation, API, and security are rebuilt for every project, AI PoCs will not lead to field operations and enterprise-wide expansion.
From collection to analysis and AI utilization,
Markbase Neo Hanaro
LAYER
01
Preserve operational history
Database Engine
Ingest high-frequency sensor data, logs and raw time-series data at high speed, with real-time compression for long-term retention.
Ingest millions of records per second
Real-time raw data compression
Instant analysis with standard SQL
Edge, server, and cluster scaling
LAYER
02
Make data understandable
Data Service Platform
We connect collection, transformation, analysis, visualization, and APIs to enable AI and business systems to use OT data directly .
HTTP, MQTT and OPC-UA connectivity
Data transformation and analysis with TQL
Dashboard and Tag Analyzer
API, token and X.509 security
LAYER
03
Turn insights into action
AI Application Runtime
We connect analysis results to alarm, maintenance, quality, and operations tasks through JSH and the Built-in App .
Data Replication
OPC-UA Client
Machine Blackbox
LLM Chat and industry-specific apps
Data-driven for AI activities
COMPLETE
Every signal
Capture data from PLCs, sensors, logs and video without loss.
CONTEXTUAL
One context
Align data by time, equipment, process and event to analyse cause and effect together.
CONTINUOUS
Every moment
Reconstruct past conditions with continuous data at its original resolution, rather than samples.
AVAILABLE
Instant access
Access data immediately at the edge and on servers through standard SQL, APIs, dashboards and apps.
Data solutions proven in countless fields
Proven industrial data infrastructure in the manufacturing, mobility, energy, public, and financial sectors
24/7 IoT insurance services
50x Faster
24/7 IoT insurance services
50x Faster
24/7 IoT insurance services
50x Faster
24/7 IoT insurance services
50x Faster
24/7 IoT insurance services
3B total records
24/7 IoT insurance services
50x Faster
24/7 IoT insurance services
50x Faster
24/7 IoT insurance services
50x Faster
HD Hyundai Marine Solution is operating its global ship management solution by replacing the existing InfluxDB with MarkBase.
It stores and manages data on hundreds of ships collected by satellite, and monitors the status of ships in real time.
We have accumulated approximately 900 billion data points since 2018 and utilize tens of millions of ship data points in our services every day.
The power data platforms of KEPCO and ETRI faced difficulties in performance and operating costs due to the complexity and maintenance burden of the existing Hadoop-based architecture.
We are operating power data services by introducing a macrobase to build a system that collects, stores, analyzes, and visualizes large-scale power data in real time, reducing costs to less than one-sixth of the existing level and increasing processing performance by more than 50 times .
Lotte Chilsung Beverage, which was struggling with real-time data collection and analysis due to the performance limitations of existing MS-SQL, adopted MarkBase in 2021.
Since its introduction, it has been processing up to 200,000 data points per second in real time, extracting and analyzing necessary data.
Based on this, we analyze the manufacturing process and utilize it for quality improvement.
Hanwha General Insurance collects driving data from over 1 million vehicles in real time and links it to insurance services.
It utilizes MarkBase Cluster Edition as a core repository to manage driving information for vehicles nationwide and supports stable service operations 24 hours a day, 365 days a year by responding to failures based on high availability technology.
Data infrastructure must prove its performance
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
See it work with
your own data.
The engineer in charge who reviewed the content will guide you through the applicability and next verification steps.
Common questions
Do I need this if I already have a Historian or RDBMS?
Yes, it is essential. Keep your existing systems and start where you need high-frequency raw data, long-term history and real-time data for AI.
Where do you deploy it, Edge or Cloud?
Start where data is generated at the edge, then scale to a single server or cluster using the same data architecture.
Can I start without an AI model?
Yes. First validate raw data capture, timeline alignment, long-term retention and instant queries. Once you introduce an AI model, you can build your business solution faster and more accurately.
What can I explore in a demo?
The demo has no feature restrictions. Use your own or sample data to test ingestion, compressed storage, SQL queries, charts, dashboards and APIs end to end, and quickly evaluate the product.
