SDS Startup Hedvig Receives Series B
In March of 2015, software defied storage startup Hedvig emerged from stealth with 12.5 Million Dollars of funding from their Series A. Only a few short months later, Hedvig announced a Series B funding around of an additional 18 Million Dollars.
Hedvig seeks to change the software defend storage arena. Founded by Avinash Lakshman, who also has had a hand in Amazon Dynamo and Apache Cassandra, Hedvig seeks to bring these same distributed technologies to the storage industry. Hedvig also recently an award from the TiE50 Technology Awards, and has been named one of the top 50 startups of 2015 by the program, which judged a total of 2716 startups.
Hedvig focuses on several key areas of the software defined storage solution. Hedvig focuses on data protection across regions, and allows all applications to have unique customized disaster recovery policies that are easy to edit. Hedvig also focus on providing hybrid cloud solutions for their customers, by running across on premises and off premises clouds, as well as in multiple public clouds.
The distributed systems approach to storage is evident in Hedvig’s approach. This is also evident in Hedvig’s big data applications, with the ability to run various distributions of elastic big data apps such as hadoop, while providing features such as custom replication and global deduplication.
Hedvig is built from several components, such as the Hedvig Storage Proxy, which provides multiple storage protocols, as well as Hedvig APIs, which are REST based. Hedvig supports block, file, and object storage protocols, and can run as a guest VM or docker container on major hypervisors including VMware vSphere, Microsoft Hyper-V, KVM, and Xen. At the core of Hedvig is the Hedvig Storage Service. The Hedvig Storage Service provides cluster efficiency and resiliency features such as auto balancing and tearing, self healing, server side cacheing, inline deduplication and compression, and thin provisioning.
Deployment of Hedvig can be done in a couple of different ways. In a hyperscale deployment, compute and storage can scale independently, or a hyperconverged model where compute and storage are scaled together. Hedvig seeks to be elastic, and scale up to multiple peta bytes, enable to provide enterprise grade storage for any hypervisor.
Hedvig plans to use these funds to continue to focus on R&D, as well as global support. For more about Hedvig, and their recent funding announcement, check out the Hedvig Blog.