Collect, store, analyze and present smart-system data
Grade: D — Score: 30/100
SkySpark collects data of all types, stores it in the high performance Folio database, and organizes heterogeneous data using semantic tagging with Project Haystack. It supports live links to automation systems or smart meters, SQL databases, historical Excel imports, and web service feeds. Its analytic engine, Axon, processes rules and algorithms to find Sparks and can generate visualizations, notifications, and reports.
SkySpark includes more than 500 built-in analytic functions, applications for timelines, KPI charts, energy analysis, historian views, weather, and custom rules, plus a workflow engine called Arc for tracking work orders. It also provides reporting, export formats such as PDF, SVG, PNG, and Excel, open published APIs, and a View Builder for creating customized views with charts, tables, forms, and other widgets.
The page does not provide pricing, compliance certifications, or specific integration partners. Deployment is flexible across edge, on-premise, cloud, and desktop environments, and SkySpark requires a machine that supports a Java VM; the minimum listed specs are 1 GHz CPU and 512 MB RAM for up to 100 points.
Yes. SkySpark works with live automation systems, smart meters, SQL databases, Excel files, and web service feeds from a utility. That makes it suitable when operational data comes from multiple source types rather than one feed.
Yes. The Folio database at the heart of SkySpark is specially designed for IoT data. The reviewed material also describes it as a high-performance database for storing equipment, device, and sensor data in a unified model.
Yes. SkySpark uses the industry standard Project Haystack for semantic tagging of data. That tagging layer is part of how the platform organizes operational data for analytics.
SkySpark uses the Axon analytic engine to automatically process rules and algorithms on your data and find Sparks, which are the things that matter. The product materials also say it includes over 500 built-in analytic functions. The documented outputs can show timing, frequency, duration, and cost.
Yes. The Energy App is described as a comprehensive suite for analysis of energy resources including electrical demand, consumption, cost, water, and gas usage. It is positioned as part of the broader SkySpark application set rather than a separate product.
Yes. SkySpark comes bundled with the Arc application, which is described as a simple yet flexible workflow engine. The reviewed feature set says it supports work-order tracking, so findings can be moved into a tracked workflow.
Yes. SkyFoundry says SkySpark can run on-premise, in the cloud, at the edge, or as a desktop tool on Windows, macOS, and Linux. That deployment flexibility may matter if you need to place the system close to devices or within a specific IT environment.
Yes, for customers in the European Union the privacy policy says they have the right to have their data and information removed at any time by notifying SkyFoundry. The same privacy statement is applicable to SkyFoundry LLC. The captured materials do not provide a broader retention policy, so this answer is limited to the removal right that is documented.