Factry Historian

The IOBASE Alternative

IOBASE was created inside Teréga for managing multi-energy infrastructure and digital twins. Factry Historian is purpose-built for process manufacturers who need batch insights, quality,  and AI-ready industrial data.

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Factry optimizes hundreds of factories worldwide
Reasons to believe

Built for grids not factories IOBASE once sufficed, but today its generic model holds your production back.

Not designed for manufacturing

IOBASE was created by Teréga to manage gas transport and multi-energy networks. Not batches, lines, shifts, quality or production analysis.

No Batch Context

IOBASE collects and stores raw time-series data, but offers no native batch logic, event detection, production states, or OEE-style insights.Manufacturing context has to be built manually.

Custom work needed

To use IOBASE in a factory, teams must build their own models, hierarchies, KPIs and domain-specific logic on top of the platform. Nothing production-ready is included out of the box.

No plant visibility

IOBASE focuses on infrastructure-level digital twins and multi-energy system optimisation. It does not provide operator views, quality insights, downtime analytics or line performance dashboards.

Before
Legacy software: IOBASE
Generic time-series only. Collects raw signals, but offers no built-in batches, events, downtime, recipes, or production logic.
No MQTT, OPC UA, or Kafka natively.  Not exports to open lakehouse formats like Parquet, Delta or Iceberg.
Context built manually. Users must define models, hierarchies, KPIs and domain logic themselves nothing manufacturing-ready out of the box.
Limited plant-level usability. No operator views, no shift analytics, no quality windows, no root-cause tools.
Opaque operations. IOBASE abstracts infrastructure inside the cloud service. Users have no detailed operational observability, no transparent lineage, and limited insight into data flow behaviour.
IOBASE uses usage-based platform licensing, not predictable per-site pricing or unlimited users,  making manufacturing rollouts harder to scale.
After
How it should be, with Factry
Containerized & portable. Run on-prem, cloud, or hybrid. Scale out horizontally without the ser ver circus
Open by default. MQT T, OPC UA, REST, SQL, Kafka in; Parquet/Delta/Iceberg out to your lakehouse. No heavy ETL.
Event-aware core. Batches, downtime, CIP detected and enriched in real time; late data and schema evolution are first-class.
AI-ready egress. Stream to notebooks, feature stores, or ML pipelines as data lands, no gatekeeping, no re-modeling marathons.
Transparent ops. Metrics, logs, and health checks, no silent drops, no black boxes.
Simple licensing. Per-site, unlimited user. So people, not paper work, set the pace .

Factry in action

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With a decade of experience

Factry Historian optimizes hundreds of factories worldwide, from the logos we show below to the ones we’re not allowed to mention
Why it matters

Migration without disruption

Switching from PI doesn’ t have to be risky. With Factry Historian we make sure we focus on continuity first, innovation second. Your plant keeps running while data events and dashboards move over step by step.

Datasource connectivity
Historic data migration
Events & assets
Calculation and analytics
MES / ERP / AI integrations
Future-proof

Replace Legacy Historians

Switch from costly, rigid systems to Factry Historian. Our scalable, user-friendly, and open solution integrates effortlessly with your existing infrastructure. It’s the smart choice for modernizing your data strategy.

Modern architecture, zero fuss

Factry Historian is modular, scalable, and easy to deploy across on-prem, central, or cloud environments. Let’s skip the consulting army and start small!

Seamless migration

Use our enhanced Grafana plugin to browse assets, query time ranges, or view batch-specific data. Thanks to Factry dashboards become dynamic tools, not static reports.

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FAQs

We have (most of) the answers! Let us know if you still can’t find what you’re looking for.

Can I do a Proof of Concept with Factry Historian?

Yes, we offer a guided onboarding for Factry Historian for a limited period and easy opt-out.

Unlimited tags? Unlimited users? Really?

Yes, really! There are no artificial limits to tags or users in Factry software. Of course, the infrastructure on which the software is running should be able to support the load.

What ERP systems does FactryOS integrate with?

FactryOS integrates with various ERP systems, such as SAP, Dynamics 365 Finance and Operations, Monitor, Navision, QAD, LISA, etc. If you have another ERP system, we implement a new interface with it.

What Integrations do you offer with Factry Historian?

Factry Historian integrates with various systems for analytics & visualizations (Seeq, Grafana, Power BI) and data egress (MQTT forwarding, Parquet files). Have a look at our Integrations page.

What kind of support do you offer?

Factry provides a ticketing helpdesk, phone support during CET business hours, and optional 24/7 premium support. Additionally, there’s detailed documentation, 24/7 monitoring of system and software health, and software updates.

Can Factry software be deployed on-premise and in the cloud?

Both are possible. Factry Historian and FactryOS can run practically anywhere with a Linux OS.

How can I visualize and analyze data from Factry Historian?

We have a built-in integration with Grafana via an official datasource plugin. You can browse asset hierarchies, trend time-series, overlay events, and build dashboards, all natively. Data is also accessible via REST API, MQTT, Parquet exports, or direct database connections, enabling integration with any BI/Analytics tool (e.g. PowerBI, Tableau, Python, Seeq).

What data sources can Factry Historian connect to?

Factry Historian connects to a wide range of industrial sources like PLCs, DCS or SCADA systems through standard protocols such as OPC‑UA, OPC-DA, Modbus TCP, and MQTT (JSON/SparkplugB), and integrates with virtually anything through its open API. Whatever systems you use, Factry makes it easy to collect and centralize your data on your terms. Have a look at our Integrations page.