MongoDB Powered by Kaminario K2

High performance. High scale. Low cost.

The Kaminario K2 supports MongoDB-powered applications with the most cost-efficient all-flash platform in the industry. The K2 delivers consistent high performance and low latency, huge capacity savings on shared storage and the ability to scale-out and scale-up to match specific application requirements for performance and capacity.

MongoDB-based applications benefit from large scale deployments without the complexities, inefficiencies and cost of managing DAS storage at scale.


Pre-Validated with MongoDB 3.2

The K2 is the only on-premises shared storage infrastructure that can match MongoDB’s scalability and flexibility.  Taken together, customers can deploy applications faster and improve overall productivity.

K2 features include native snapshots to instantly create additional production-like environments, a robust K-RAID™ scheme to ensure data is available at all times and inline deduplication and compression to offload operations from MongoDB servers to the storage.

Kaminario is a MongoDB Enterprise Certified Solution Partner.

See it in Action

Listen as Shai Maskit, Director of Technical Marketing at Kaminario, walks you through how Kaminario powers MongoDB environments.


MongoDB workloads can rely on K2’s predictability, dramatically reducing transaction response times with consistent sub-millisecond latency. High and consistent throughput enables real-time analytics processing with the ability to support demanding performance service level agreements (SLAs) for multiple environments.


MongoDB applications  grow rapidly and to unfathomably large size – web-scale.  The Kaminario K2 all-flash storage array with high performance, scale up and scale out can provide the storage required to support the servers, physical or virtual, in a MongoDB installation.

Cost Efficiency

K2’s ability to support multiple different workloads at high performance and scale makes it possible to cost-effectively bring the benefits of all-flash arrays to MongoDB applications by sharing the cost of the array among all mission-critical applications in an enterprise.