LightMiner Systems
LightMiner is transforming the massive analytical database market.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
N/A | Acquisition | ||
| Total Funding | 000k | ||
LightMiner Systems was established in 2012 in Palo Alto, California, to address the growing need for high-performance data analytics. The company operated in the analytical database and IT storage market, providing data management systems.
The core offering was a data analytics appliance that integrated specific software and hardware architecture to perform complex data analysis. This platform included an industry-standard ANSI SQL relational database and an R Workbench environment, both optimized for massively parallel processing (MPP) in supercomputing environments. The system was designed to deliver significant performance increases over standard systems, supporting data importers for various formats, including streaming data from Internet of Things (IoT) gateways for machine learning applications. A key feature was its browser-based administrative interface, eliminating the need for a client-side application. The business model focused on a flat pricing structure, avoiding per-user or per-core fees, making supercomputing-level performance more accessible to a broader range of enterprises.
After its founding, LightMiner Systems secured $401K in a Series A venture capital round in September 2012. The company's technology was originally developed to solve complex problems in scientific computing. Following its market entry, it attracted beta customers in sectors such as retail, banking, and agricultural research. On April 24, 2015, LightMiner Systems was acquired by Inpixon Global Holdings (formerly Sysorex) for $3.7 million. Post-acquisition, the technology was enhanced for broader applications like predictive analytics and was integrated with Sysorex's other products to provide services such as real-time foot traffic analytics and asset tracking. Keywords: data management systems, analytical database, data analysis appliance, massively parallel processing, MPP, SQL relational database, R Workbench, supercomputing, IT storage, data importers, IoT data streams, machine learning analytics, predictive analytics, Inpixon, Sysorex, data analytics platform