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- Lightbits Labs
Lightbits helps organizations store, process, and manage data on the cloud with more flexibility, performance, and efficiency. Our software-defined disaggregated data platform delivers predictable and lower costs and a better public cloud experience for database, transactional, and analytics workloads.
Financial Services and insurance companies can lower their TCO with Lightbits on Intel High Performance Hardware
Lightbits on Intel High-Performance Hardware enables fast, secure, multi-tenant edge cloud services that are easier to manage and more cost-efficient.
Lightbits unique block-based, software-only and NVMe/TCP architecture combined with Intelligent Flash Management and Enterprise-Rich Data Services makes it the only Complete Data Platform that’s simple and easy to consume, highly scalable, and cost-efficient.
Lightbits offers the best value for enterprise organizations who want to right-size their block storage on AWS while boosting performance and operating IO-intensive database and analytics applications.
Lightbits on Azure comes with built-in enterprise features customers desire and plugs directly into Azure Virtual Machines. The high-performance shared storage cluster offers users consistent low latency and gives you the ability to provision persistent volumes to your application, protecting your data from failures while enabling independent scaling of compute and storage.
With Lightbits you can rehost your Oracle workloads on AWS cost-efficiently and with the same high performance that you are used to on-premises for a better Oracle experience on the cloud.
Lightbits for OpenStack clusters offers cloud-native, high-performance, scale-out, and highly available NVMe/TCP storage. Lightbits supports open cloud environments by ensuring interoperability with and availability through all OpenStack future releases.
Lightbits for VMware provides seamless integration via the vCenter plugin allowing applications and workloads to consume a high-performance feature-rich NVMe storage for virtual machines.