Open-Source Historian

Open-source historian implementation services for pharmaceutical manufacturers. The engagement covers the architecture (InfluxDB, TimescaleDB, Grafana), the deployment, the tag governance, the validation, and the post-deployment support.

Open-source stack selection

The open-source historian stack includes InfluxDB (time-series database), TimescaleDB (PostgreSQL extension for time-series), Grafana (visualization), and Telegraf (data collection).

Architecture and deployment

The open-source historian architecture is designed for the production environment: the database cluster, the visualization server, the data collection, the network, and the security.

Validation for GxP

The open-source historian can be validated for GxP use cases. The validation covers the installation qualification, the operational qualification, the performance qualification, the change control, and the periodic review.

How to use this page

Use this Open-Source Historian page as a planning checkpoint before vendor selection, architecture review, validation scoping or implementation sequencing. The strongest next step is to compare the guidance with your current SOPs, system inventory, batch records, data flows and QA review routines so the discussion starts from evidence instead of assumptions.

Evidence to prepare

For Open-Source Historian, prepare the records, owners, risks and decision criteria linked to open-source stack selection, architecture and deployment, validation for gxp. Useful evidence includes current process maps, interface lists, audit trail expectations, exception workflows, data retention rules and the business reason for changing the current operating model.

Frequently asked questions

Is an open-source historian suitable for pharmaceutical manufacturers?

Yes, an open-source historian can be validated for GxP use cases.

What is the difference between InfluxDB and TimescaleDB?

InfluxDB is a purpose-built time-series database with a SQL-like query language. TimescaleDB is a PostgreSQL extension that adds time-series capabilities.