Editorial Technical Reference

Database Engine

This page explains how Database Engine is classified within Machinery and Equipment Manufacturing. Technical values and manufacturer relationships are research references; confirm the current specification and supplier evidence for each order.

Technical Definition & Core Assembly

Core software component for storing, retrieving, and managing data within SCADA/MES systems.

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Product Specifications

Technical details and manufacturing context for Database Engine

Definition
The Database Engine is a specialized software component within a SCADA/MES Software Server that manages real-time and historical process data, equipment status, production records, and operational parameters. It provides data persistence, transaction management, query processing, and data integrity for manufacturing execution and supervisory control applications. The engine receives data from SCADA/MES applications through defined interfaces, organizes it into structured tables with relationships, optimizes storage for time-series data, executes queries using indexing and caching mechanisms, and ensures ACID properties for reliable data operations in industrial environments. Key parameters include support for SQL and NoSQL database types, maximum concurrent connections ranging from 1000 to 5000, data throughput of 10,000 to 100,000 transactions per second, query response time of 1 to 10 milliseconds, data compression ratio of 2:1 to 10:1, maximum database size of 1 to 100 TB, operating temperature range of -40 to 85 °C, storage interfaces such as SATA, SAS, and NVMe, memory usage of 512 to 4096 MB, CPU architecture support for x86 and ARM, redundancy support for Active-Passive and Active-Active configurations, and security encryption using AES-128 to AES-256 per ISO/IEC 18033-3. These values are reference ranges and must be verified with the manufacturer for specific models and applications. The engine is a component, not a standalone product, and its selection depends on system compatibility, data volume, and performance requirements. Always confirm model-specific specifications and standards with the legal manufacturer or supplier before procurement.
Working Principle
The database engine operates by receiving data from SCADA/MES applications through defined interfaces, organizing it into structured tables with relationships, optimizing storage for time-series data, executing queries using indexing and caching mechanisms, and ensuring ACID (Atomicity, Consistency, Isolation, Durability) properties for reliable data operations in industrial environments. It handles concurrent connections, manages transactions, and provides data compression to reduce storage costs. The engine supports various storage interfaces and CPU architectures, and can be configured for redundancy to ensure high availability. Its performance is characterized by data throughput, query response time, and memory usage, which must be matched to the deployment scale.
Common Materials
Software Code
Technical Parameters
ParameterTypical rangeNotes & selection driver
Supported Database TypesSQL, NoSQLDetermines compatibility with existing systems
Maximum Concurrent Connections1000–5000 connectionsHigher values for larger SCADA/MES deployments
Data Throughput10000–100000 transactions/sCritical for real-time data logging
Query Response Time1–10 msLower is better for real-time monitoring
Data Compression Ratio2:1–10:1Reduces storage costs for historical data
Maximum Database Size1–100 TBScales with plant data volume
Operating Temperature-40–85 °CIndustrial environments may require wide range
Storage InterfaceSATA, SAS, NVMeAffects data access speed
Memory Usage512–4096 MBHigher for large caches
CPU Architecture Supportx86, ARMCompatibility with industrial PCs
Redundancy SupportActive-Passive, Active-ActiveEnsures high availability
Security EncryptionAES-128–AES-256 bitProtects sensitive production dataISO/IEC 18033-3

Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.

Components / BOM
  • Query Processor
    Parses and optimizes database queries for efficient execution
    Material: software
  • Storage Manager
    Manages physical storage allocation and data file organization
    Material: software
  • Transaction Manager
    Ensures ACID compliance and manages concurrent data access
    Material: software
  • Caching Mechanism
    Keeps hot index and result data in memory so repeat queries do not hit disk.

Applied To / Applications

This component is essential for the following industrial systems and equipment:

Industrial Ecosystem & Supply Chain Structure

Complementary Systems
Downstream Applications
Specialized Tooling

Application Fit & Sizing Matrix

Operational Limits
pressure: Not applicable (software component)
other spec: Concurrent connections: 10,000 max, Data throughput: 1 GB/s sustained, Storage capacity: 100 TB per instance, Transaction rate: 50,000 TPS
temperature: Operating temperature range: -40°C to +85°C (industrial grade), storage: -55°C to +125°C
Media Compatibility
✓ Real-time process data streams ✓ Historical time-series data ✓ Configuration/asset management data
Unsuitable: High-frequency trading systems requiring sub-microsecond latency
Sizing Data Required
  • Maximum concurrent user connections required
  • Historical data retention period (years)
  • Peak transaction volume per second

Reliability & Engineering Risk Analysis

Failure Mode & Root Cause
Data Corruption
Cause: Sudden power loss during write operations, leading to incomplete or inconsistent data writes.
Performance Degradation
Cause: Fragmentation of data files, excessive indexing, or insufficient memory allocation causing slow query responses.
Maintenance Indicators
  • Unusual increase in query response times or frequent timeouts during normal operations.
  • Audible alerts from monitoring systems indicating high CPU usage, memory pressure, or disk I/O bottlenecks.
Engineering Tips
  • Implement regular database maintenance routines, including index rebuilding, statistics updates, and data file defragmentation to optimize performance.
  • Use redundant power supplies and uninterruptible power supplies (UPS) to prevent abrupt shutdowns and ensure graceful shutdown procedures during power events.

Indicative industry ranges for design and RFQ preparation. Confirm the exact figures and applicable standard with the manufacturer before specifying.

Compliance & Manufacturing Standards

Applicable Standards
ISO/IEC 9075:2023 (SQL) ANSI/INCITS 135-1992 (R2018) (Database Language SQL) ISO/IEC 25012:2008 (Data Quality Model)

Quoted from the published standard.

Manufacturing Precision
  • Query Response Time: +/-5% of specified benchmark
  • Data Integrity: 99.999% accuracy in transaction processing
Quality Inspection
  • ACID Compliance Verification Test
  • Performance Benchmarking under Load

Manufacturers of Database Engine

Manufacturer profiles associated with Database Engine.

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Frequently Asked Questions

What is the role of the Database Engine in SCADA/MES systems?

The Database Engine is a core software component that stores, retrieves, and manages data within SCADA/MES systems. It handles real-time and historical process data, equipment status, production records, and operational parameters, providing data persistence, transaction management, query processing, and data integrity for manufacturing execution and supervisory control applications.

What are the typical performance parameters for this Database Engine?

Typical reference ranges include 1000–5000 maximum concurrent connections, 10,000–100,000 transactions per second data throughput, 1–10 ms query response time, 2:1–10:1 data compression ratio, and 1–100 TB maximum database size. These values are indicative and must be confirmed with the manufacturer for specific models and deployments.

How does the Database Engine ensure data reliability?

The engine ensures ACID (Atomicity, Consistency, Isolation, Durability) properties, which guarantee that transactions are processed reliably. It also supports redundancy configurations such as Active-Passive and Active-Active to provide high availability, and uses security encryption (AES-128 to AES-256) to protect sensitive production data.

What factors should be considered when selecting a Database Engine for an industrial application?

Selection should consider compatibility with existing systems (SQL/NoSQL), data volume and throughput requirements, query response time, storage interface (SATA, SAS, NVMe), CPU architecture (x86, ARM), memory usage, operating temperature range, and redundancy needs. Always verify model-specific specifications and standards with the legal manufacturer or supplier.

Data Basis

Editorial classification, named public sources where available, and source-reviewed manufacturer records.

Preliminary Technical Classification
This page supports structured research, RFQ preparation, and supplier evaluation. It does not replace buyer-led supplier qualification, standards review, or technical approval.
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