- StorageOS announce that it raises an additional $10 million in funding.
- Adoption is for its software-defined storage platform for containerized applications.
- StorageOS competes with a number of storage software providers, such as MayaData and Red Hat.
- It currently claims to have more than 4,000 customers.
StorageOS is cloud-native storage and provides persistent storage for stateful Kubernetes applications. StorageOS is a feature-rich, cloud-native storage solution for Kubernetes. Build stateful containerized apps using StorageOS to gain the performance, reliability, scalability, and security for your business needs.
Deterministic performance
Predictable low latency for databases and other stateful applications.
Data locality
They have a local copy of the application data. This improves application performance by reducing latency.
In-memory caching
Speed up access to volumes even if volumes are located on a remote node.
Quality of service
Prioritize data traffic and address the “noisy neighbors” problem.
StorageOS Competes with Storage Software Providers
It competes with a number of storage software providers, such as MayaData and Red Hat, as well as traditional storage system providers like Dell Technologies, Hewlett-Packard Enterprise (HPE), and Pure Storage, which acquired Portworx — provider of a rival container storage platform — for $370 million last year. The company’s latest round was led by Downing Ventures, with existing investors Bain Capital Ventures, Uncorrelated Ventures, and MMC Ventures participating alongside new investor Chestnut Street Ventures. StorageOS has raised a total of $20 million to date. The new funds will be employed to expand the scope of StorageOs’ go-to-market capabilities, including growing its sales engineering staff.
Container storage
Implemented by developers who prefer software-only solutions that don’t lock them into a specific platform. StorageOS is unique in that its platform doesn’t have any dependencies that would lock IT, teams, into a specific distribution of Kubernetes, for example, Chircop noted.
It has its own lightweight database that accesses a common pool of storage alongside other microservices. Each microservice tends to be latency-sensitive.
Sensitive, so the performance of the underlying container storage system typically has a direct impact on a microservices-based application. Container storage also needs to be dynamically scaled up and out alongside container applications, which is easier to accomplish using a hyper-converged topology enabled by software that makes it simple to add additional storage nodes on demand.
