FactoLake is a real-time manufacturing data lake platform that centralizes, manages, and analyzes massive volumes of industrial data using Apache Iceberg. It empowers manufacturers with predictive insights, real-time analytics, and AI-driven decision-making to improve production efficiency, equipment uptime, and product quality. With seamless integration across MES, ERP, and process control systems, FactoLake breaks data silos and transforms raw shop-floor data into actionable intelligence for smarter, faster operations.
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FactoLake uses a single contract-based pricing dimension measured in Hosts. A Host represents your unit of platform usage for data processing and analytics. You commit to a set quantity of Hosts under your contract term. Pricing scales with the number of Hosts you provision, so your cost tracks how much of the platform you use to ingest and query industrial data. There are no separate tiers or add-on dimensions to choose between. You size your commitment by selecting the Host quantity that fits your workload.
Top-of-mind questions for buyers
What counts as one Host for billing purposes?
A Host is the unit of FactoLake platform usage for data processing and analytics. It measures how much of the platform you provision to ingest, contextualize, and query your industrial data. You commit to a Host quantity that matches your workload across connected plant systems.
What kinds of data can each Host process?
FactoLake ingests machine, execution, quality, and enterprise data from multiple systems and formats. This includes high-frequency machine telemetry, execution events, business transactions, and inspection metadata. All of it lands in one queryable historical layer that supports reporting, traceability, and analytics.
How does my cost change as my data volume or plant systems grow?
Pricing scales with the number of Hosts you provision, not directly with raw data rows. To handle more sources or higher ingestion volume, you add Hosts to your commitment. A phased rollout lets you start with priority systems and expand your Host quantity as you add analytics use cases.
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