The software addresses the performance and cost constraints common in conventional industrial data stores by combining an independent data plane of PostgreSQL clusters with a centralized management console. Organizations can oversee deployments, high-availability setups, monitoring, and backups across distributed multi-site operations from a unified interface. Notably, secure installation bundles are provided to ensure full operational support for air-gapped environments that lack public repository connections. Analytical efficiency is further bolstered through specialized storage engines that compress data while keeping it queryable.
Key points
Industrial facilities can deploy the platform across edge, on-premises, and cloud environ…: Industrial facilities can deploy the platform across edge, on-premises, and cloud environments on user-controlled infrastructure.
Air-gapped operational environments are fully supported through dedicated, secure offline…: Air-gapped operational environments are fully supported through dedicated, secure offline installation bundles.
Automatic time-series partitioning is achieved via hypertables that continue to function…: Automatic time-series partitioning is achieved via hypertables that continue to function like standard database tables.
Sources checked by our analysis pipeline: 1
A new foundation for industrial history: TimescaleDB performance, enterprise-grade reliability, and integrated operations across sites, on infrastructure you control.
We’re announcing the public beta of TimescaleDB Enterprise today. It provides the database foundation for the new Ignition Enterprise Historian, available in Ignition 2027 from Inductive Automation, which also enters public beta today.
We’re in the midst of a massive industrial buildout: new factories, expanding energy infrastructure, AI data centers, and existing facilities being modernized and retooled. Operators want greater visibility into what’s happening, tighter control, and better ways to optimize operations. That means more sensors, more software, and a lot more data.
We think it’s time to rethink the modern historian. Many legacy proprietary historians brought storage, industrial protocol connectors, analytics, and visualization into one tightly coupled system. That made them convenient to deploy as a single package, but left operators constrained by the system’s performance limits, proprietary interfaces, data formats, and high costs. As AI and new applications change what teams want to do with operational data, architectural decisions made decades ago increasingly limit how quickly they can adapt.
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