Overview – Data Logging
The Data Logging product, which is also known as the Data Historian, allows you to log Tag data to databases and CSV files. Database logging supports SQL Server, Oracle, Access, MySQL, PostgreSQL, Cassandra, MongoDB, MariaDB, SQLite, InfluxDB, SQL Azure, Amazon Aurora, Amazon RDS, Amazon Redshift and Google Firebase.
Data logging can be configured in OAS using Logging Groups. A logging group is a configuration construct that defines the logging behavior, which tags should be logged, the database connection parameters and the data logging format type. You can define as many logging groups as you need.
Some of the key features include:
- Interval, time, event or data change logging triggers
- Configurable column names
- Automatically creates tables
- High precision timestamp
- Supports dynamic host, database and table configuration based on Tag source
- Expired data removal
More:
- Getting Started – Data Logging
- Data Logging Configuration
- Database Security Login
- One Click Database
- Windows Azure Logging
- Log Buffered Data from a PLC or Controller
- Data Logging High Speed Data from Visual Studio Applications
- Redundant Data Logging to the Same Table from Multiple Services
- Data Logging Groups
- Data Logging Programmatic Interface
- Videos – Data Logging
- FAQs – Data Logging