Ignition and TimescaleDB: the Perfect Pairing
Blog post from Tiger Data
Ignition's SQL Historian is designed to store tag history in PostgreSQL, but its standard setup struggles with time-series workloads due to PostgreSQL's row-oriented architecture. To address these limitations, TimescaleDB, a PostgreSQL extension, optimizes performance by automatically partitioning data into chunks, allowing for efficient time-series data management. This integration with TimescaleDB enhances Ignition's capabilities by maintaining fast data ingestion and transactional guarantees while offering the scan efficiency of a time-series specific tool. The process involves setting up a database connection, configuring the SQL Historian, and converting tables to hypertables, ensuring seamless handling of large volumes of industrial data.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.