Tiger Data Targets Industrial Titans with New On-Premises Database

HANNOVER, GERMANY – April 20, 2026 – Against the backdrop of the world’s largest industrial technology trade show, Hannover Messe, Tiger Data today announced a direct challenge to the incumbents of industrial data management. The company has launched TimescaleDB Enterprise, a commercially licensed, self-managed time-series database designed specifically for the rigorous demands of on-premises, edge, and customer-managed cloud environments.

The new offering aims to modernize the data infrastructure of sectors that form the backbone of the global economy—manufacturing, energy, utilities, and defense—where moving operational data to a third-party cloud is often impossible due to security, regulatory, and operational constraints.

The Data Sovereignty Imperative

For decades, industrial operations have been dominated by legacy historian platforms, but many of these systems are now approaching their end of life. This transition coincides with a global trend toward stricter data sovereignty and localization laws. Nations are increasingly mandating that data generated within their borders, especially from critical infrastructure, must stay there. This regulatory pressure, combined with the sheer volume of data produced by modern sensors and machinery, creates a critical market gap.

Cloud services, despite their power, are often unsuitable. Many industrial sites operate in remote locations with intermittent connectivity or in completely "air-gapped" environments, physically disconnected from the internet to prevent cyber threats. Research indicates that regulatory and data sovereignty concerns are now primary drivers for edge computing adoption, and the on-premises deployment model continues to hold the largest market share in industrial data management.

“Organizations running power grids, factories and oil fields generate enormous volumes of time-series data, and it is critical to have IT (enterprise) and OT (operational) data on premises or at the edge for analytics. Sending that data to a third-party cloud service is often a non-starter,” said Mike Freedman, Co-founder and Chief Technology Officer of Tiger Data, in the official announcement.

TimescaleDB Enterprise is engineered for these realities. Its core operations—including provisioning, high-availability failover, backups, and monitoring—are designed to function without any internet connectivity, directly addressing the needs of secure and isolated facilities.

Challenging the Old Guard

Tiger Data is positioning its new product as a disruptive "third option" for industrial customers. For years, the choice has been stark: either continue paying escalating fees for aging, proprietary historian platforms like the AVEVA PI System, or venture into the unsupported world of open-source software, managing complex deployments without commercial backing.

Legacy historians are frequently criticized for their opaque and costly licensing. The traditional "per-tag" pricing model, where costs increase with every data point monitored, becomes prohibitively expensive as industrial IoT deployments scale into thousands or millions of sensors. This model has led to what some industry insiders call "exploding costs" and significant vendor lock-in, as proprietary data formats make migration a daunting task. The impending end-of-support for widely used legacy tools, such as AVEVA's PI ProcessBook in December 2024, is further compelling companies to evaluate modern alternatives.

TimescaleDB Enterprise directly confronts this economic model. “For years, the only options for these customers were to self-manage an unsupported open-source deployment or pay for a legacy historian with per-tag pricing and proprietary lock-in,” noted Ramon Guiu, Head of Product and Sales at Tiger Data. “TimescaleDB Enterprise is a third option: commercially supported, built on open foundations and priced on compute capacity, not data volume. That changes the economics for organizations running dozens of sites.”

This shift from data volume to compute capacity aligns costs with processing power rather than data collection, offering more predictable budgeting and potentially significant savings, especially as data generation continues its exponential growth.

The PostgreSQL Advantage at the Edge

Under the hood, TimescaleDB Enterprise is built as an extension on PostgreSQL, one of the world's most trusted and robust open-source relational databases. This foundation is a key technical differentiator. It allows organizations to leverage the reliability, security, and vast ecosystem of PostgreSQL while gaining powerful, specialized features for time-series data.

Unlike many purpose-built time-series databases that use proprietary data models, TimescaleDB stores data in standard PostgreSQL format, accessible via standard SQL. This not only simplifies integration with existing business intelligence and analytics tools but also guarantees data portability. If a customer chooses to end their commercial subscription, they retain full access to their data and can continue operating with the open-source version of TimescaleDB.

The enterprise offering enhances this open-source core with a suite of production-grade features. It includes high-availability clustering with automatic failover to minimize downtime, fully incremental backups with point-in-time recovery for robust data protection, and a web-based administration console for simplified management. The platform's unique hybrid storage engine automatically stores recent, frequently written data in a row-based format for speed, while converting older data into a highly compressed columnar format, reducing storage needs by up to 95% and accelerating analytical queries on historical data.

A Bridge to the Future

While designed for disconnected environments, Tiger Data acknowledges that a hybrid approach is often the end goal. TimescaleDB Enterprise includes an optional Cloud Sync feature, which enables continuous and secure data replication to Tiger Cloud, the company's managed cloud platform, whenever a network connection is available. This creates a supported pathway from isolated edge sites to centralized, enterprise-wide analytics, allowing organizations to gain a unified view of their operations without compromising local security or autonomy.

To accelerate adoption, Tiger Data has also formed a strategic alliance with Inductive Automation, the creator of the popular Ignition industrial application platform. This partnership aims to provide a seamless, end-to-end solution for a customer base that includes a majority of Fortune 100 companies, integrating Ignition's data collection capabilities with TimescaleDB's powerful on-site database engine.

Tiger Data is now inviting organizations to join an early access waitlist, offering direct engineering support and influence over the product roadmap ahead of general availability planned for later this year. The launch at Hannover Messe signals a clear intent to meet industrial giants on their home turf, armed with a solution built for the modern realities of data, security, and economics.