To help traditional industries go digital, Intel has developed the Edge Insights for Industrial software package. This package has been validated in production environments and can securely obtain, analyze, and store video and time-series data on the edge. You can program applications and create models on Edge Insights for Industrial to help you get more value from your data.
Time-series analytics is a key component of Edge Insights for Industrial. By analyzing your time-series data, you can obtain the insight you need to make better business decisions and increase production efficiency.
InfluxDB is currently used as the database management system for storing and analyzing time-series data in Edge Insights for Industrial. However, TDengine can offer even better performance and compression rates. To back this up, the TDengine team has prepared two comparisons of TDengine and InfluxDB so that you can decide which time-series database (TSDB) management system is best for you:
- Writing Performance Comparison of TDengine and InfluxDB
- Query Performance Comparison Test Report: TDengine vs. InfluxDB
TDengine is an open-source time-series database management system featuring high performance, scalability, and SQL support. It has seen wide use in fields ranging from IoT and Industrial Internet to connected cars, IT systems maintenance, and finance.
The native distributed design of TDengine enables the scaling out of processing capability simply by adding nodes and provides high availability through data replication onto those nodes.
Unlike InfluxDB, which uses a proprietary query language, TDengine uses industry-standard SQL. This design choice reduces the costs associated with learning new languages and migrating to new systems. TDengine also provides extensions to SQL for specialized analysis of time-series data and even supports schemaless data ingestion for added flexibility.
Now, after extensive testing, the TDengine team is proud to announce that you can use TDengine with Edge Insights for Industrial as your time-series data solution.
The following figure shows how TDengine works in Edge Insights for Industrial.
To use Edge Insights for Industrial with TDengine, first provision and start Docker containers as specified by the official documentation. Once Edge Insights for Industrial is running, you can use Telegraf to collect time-series data and store it in TDengine. Then you can visualize the data with Grafana.
For more information, see the official documentation on the Intel website.
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