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The modern historian for industrial scale

Ignition Enterprise Historian and TimescaleDB. Built to work together.

Designed for the performance and reliability that mission-critical industrial workloads demand, with the native Ignition experience operators and engineers already know.

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Changing historian workloads

Industrial data is outgrowing traditional historian architectures

The workload changed.

The historian architecture needs to change with it.

More tags

Thousands → millions

More connected equipment means more time-series streams to ingest and manage.

Higher frequency

Minutes → sub-second

Higher-resolution operations create dramatically more writes.

Longer retention

Weeks → years

History stays valuable for troubleshooting, optimization, and reporting.

More demanding apps

Charts → analytics → AI

The same data now serves more users and more complex queries.

Ignition Enterprise Historian

Ignition Enterprise Historian, powered by TimescaleDB

Ignition historian setup wizard connecting to a TimescaleDB Enterprise service overview dashboard
Ignition historian setup wizard connecting to a TimescaleDB Enterprise service overview dashboardTigerData logo

Purpose-built for Ignition

Use a dedicated historian with simplified setup, not a general-purpose database you have to design and optimize yourself.

Powered by enterprise-grade TimescaleDB

Store and query historian data on a production-ready time-series database built to handle high-volume industrial workloads.

Built and supported together

Developed by Inductive Automation and Tiger Data, with support from both vendors.

Up and running in minutes

Historian setup, integrated into Ignition

Ignition historian setup wizard connecting to a TimescaleDB Console database

01

Deploy

Create a TimescaleDB database cluster in the TimescaleDB Console.

02

Select

Choose TimescaleDB as the historian backend in Ignition.

03

Connect

Provide the connection information for your TimescaleDB Console.

04

Validate & Create

Ignition validates the deployment and configures the historian database.

No separate database design and tuning workflow

Deployment choices

One historian. Three ways to deploy it.

Every deployment includes:

No tag or user limits

Enterprise-grade HA and backups

Operational tooling

Vendor support

TimescaleDB for Ignition

For standard Ignition historian deployments

Single or multiple Ignition gateways

Designed for medium-scale deployments

One standard configuration

Procurement

Through Inductive Automation

Pricing model

Fixed price perpetual license

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TimescaleDB Enterprise

For larger, more complex industrial architectures

Multi-level or complex gateway architectures

Flexible sizing and greater deployment control

Can serve as a LiveSync destination

Procurement

Through Tiger Data

Pricing model

Fixed price by server configuration

Explore Timescale Enterprise

Tiger Cloud

For fully managed historian deployments in the cloud

Database infrastructure operated by Tiger Data

HA, backups, and upgrades handled for you

Available on AWS, Azure, and GCP

Procurement

Through Tiger Data

Pricing model

Usage-based pricing

Explore Tiger Cloud

A different historian architecture

Built for a different class of workload

Database:PostgreSQL + TimescaleDB
Scale:Small → very large
Performance:High-rate ingest and fast queries across large histories
Data scope:Tag history + full operational context
Storage:Relational row storage + compressed columnar tag history
Query processing:Filtering and aggregation executed in TimescaleDB
Database Operations:Built-in HA, backup, monitoring, and lifecycle management

Performance at industrial scale

Performance benchmarks

On-Disk Footprint:217 GB
Sustained Ingest:77,500 pts/sec
1 Year Aggregation (Raw):131 sec
1 Month Aggregation (Raw):8.3 sec
Aggregate execution:Computed in Ignition from raw history

Identical test configuration: 16 vCPU / 128 GB RAM.  2.1 billion record dataset.

Why it's faster

Automated partitioning

Incoming data is automatically partitioned by time, and irrelevant partitions are pruned from historical queries.

Compressed columnar storage

Tag history is compressed in columnar form, allowing queries to read only the columns they need.

Native historian ingest

History is written through a historian-specific data path designed for sustained, high-rate ingest.

Database-side analytics

Filtering and aggregation run inside TimescaleDB, while continuous aggregates maintain common rollups.

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Interested in Ignition Enterprise Historian or TimescaleDB Enterprise?

Talk to Tiger Data about architecture, deployment, and private-preview access.

Frequently Asked Questions