Panasas ActiveStor and NetApp Private Storage are competing in the data storage solutions category. NetApp Private Storage seems to have the upper hand due to its comprehensive features that justify the cost.
Features: Panasas ActiveStor offers a scalable architecture, high-performance parallel data processing capability, and is suitable for demanding applications. NetApp Private Storage integrates seamlessly with major cloud providers, offers extensive data management features and provides robust connectivity options.
Ease of Deployment and Customer Service: Panasas ActiveStor provides a straightforward deployment process and efficient support services. NetApp Private Storage involves a more complex setup process but includes comprehensive customer service and extensive documentation.
Pricing and ROI: Panasas ActiveStor is considered cost-effective, offering a quicker ROI through competitive pricing and lower initial investment costs. NetApp Private Storage, despite a higher upfront cost, offers long-term value through advanced features, appealing to organizations seeking robust and scalable solutions.
| Product | Market Share (%) |
|---|---|
| NetApp Private Storage | 2.0% |
| Panasas ActiveStor | 0.8% |
| Other | 97.2% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
NetApp Private Storage (NPS) for Cloud is a family of enterprise storage solutions that lets you use multiple industry-leading clouds and maintain complete control over your data on dedicated storage systems from NetApp.
In our most recent product, the ActiveStor Ultra, Panasas has developed a new approach called Dynamic Data Acceleration Technology. It uses a carefully balanced set of HDDs, SATA SSD, NVMe SSD, NVDIMM, and DRAM to provide a combination of excellent performance and low cost per terabyte.
• HDDs will provide high bandwidth data storage if they are never asked to store anything small and only asked to do large sequential transfers. Therefore, we only store large Component Objects on our low-cost HDDs.
• SATA SSDs provide cost-effective and highbandwidth storage as a result of not having any seek times, so that’s where we keep our small Component Objects.
• NVMe SSDs are built for very low latency accesses, so we store all our metadata in a database and keep that database on an NVMe SSD. Metadata accesses are very sensitive to latency, whether it is POSIX metadata for the files being stored or metadata for the internal operations of the OSD.
• An NVDIMM (a storage class memory device) is the lowest latency type of persistent storage device available, and we use one to store our transaction logs: user data and metadata being written by the application to the OSD, plus our internal metadata. That allows PanFS to provide very low latency commits back to the application.
• We use the DRAM in each OSD as an extremely low latency cache of the most recently read or written data and metadata.
To gain the most benefit from the SATA SSD’s performance, we try to keep the SATA SSD about 80% full. If it falls below that, we will (transparently and in the background) pick the smallest Component Objects in the HDD pool and move them to the SSD until it is about 80% full. If the SSD is too full, we will move the largest Component Objects on the SSD to the HDD pool. Every ActiveStor Ultra Storage Node performs this optimization independently and continuously. It’s easy for an ActiveStor Ultra to pick which Component Objects to move, it just needs to look in its local NVMe-based database.
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