The OAS Data Historian software allows you to log data to SQL Server, Oracle, Access, MySQL, Azure SQL, PostgreSQL, Cassandra, MongoDB, MariaDB, SQLite, InfluxDB, and CSV files based on event, continuously, time of day, or on data change in both wide and narrow table formats.
The data source can be local or remote without exposing your database. With OAS store and forward feature built in you will never lose records on an network failure. OAS implements edge computing with its Distributed Network Architecture to process and retain data at the source for up to 1 million data points per OAS Data Engine.
The core of the OAS Platform, enabling data connectivity, server-to-server networking, and more
Log data in open format to MS SQL Server, Oracle, mySQL, PostgreSQL, InfluxDB, MongoDB, SQLite, MariaDB, Access, SQL Azure, and CSV
Log events to open databases, and send notifications via SMS, email, and voicemail
Read and write data to Allen Bradley, Siemens, and Modbus devices, Universal Drivers, OPC, OPC UA, databases, and Excel. Read MTConnect.
Connect to cloud-base IoT gateways such as AWS, Azure IoT, and MQTT Brokers
Develop custom Visualizations, User Interfaces, and Automation apps for Windows, web, native iOS and Android, integrate with .NET and REST APIs
Provides the most robust, scalable, and reliable distributed networking platform for IIoT solutions
Never lose data on network or database engine failure. The OAS Data Historian buffers data in real time. If communications is lost to the destination database, or if the destination is unavailable for any reason, no data is lost. As soon as communications are reestablished, all data is transferred at high speed.
Supported Data Destinations
Log data to one or more locations simultaneously, each with configurable parameters so data is targeted for each destination data store.
- MS SQL Server
- MS Access
- SQL Azure
- CSV Files
- Log data in an open format
Once data is logged, you are free to access it with your own or 3rd party tools for reporting or analytics
- Log data to stored procedures
Pass logged data into stored procedures for in-database processing
- Log to over 10,000 separate tables per server
- Up to 100 nanosecond resolution
- Log up to 1 million records per call to local or remote SQL Server
- Flexible data logging configuration
Log data continuously, based on event, specific time of day, or based on data change
- Log data in wide or narrow table formats
- One Click Database
Set up data logging for all of your data in less than 5 minutes
Data Visualization and Reporting
Data logged using the Data Historian can be visualized in HMIs and other applications, and it can be the source of customized reports using the following Platform components
Visualize real time and historical data in WPF and WinForm applications. Build customizable, interactive data explorers using Visual Studio, and any .NET language such as C# and VB.NET
Automate the generation of reports and deliver them in multiple at custom intervals (e.g. hourly, daily, weekly, or monthly). Deliver reports as Word or Excel documents, PDFs, and HTML files or even sent directly to a networked printer