Tintri
Tintri provides VM-aware and application-aware storage systems (enterprise storage) optimized for virtualized and cloud environments.
- Virtual machine-aware storage platforms for VMware, Hyper-V, and other hypervisors (enterprise storage)
- Application-aware storage management with per-VM Quality of Service (QoS) and performance controls (data management)
- Analytics and automation for capacity planning, performance monitoring, and workload optimization (IT operations analytics)
- Integration with virtualization and cloud management stacks for simplified provisioning and lifecycle management (cloud infrastructure)
- Flash-based and hybrid storage architectures targeting enterprise and service provider data centers (enterprise storage)
More About Tintri
Tintri focuses on storage platforms (enterprise storage) that operate at the level of virtual machines and applications rather than traditional LUN- or volume-based constructs. Its systems are positioned for enterprises and service providers that run large-scale virtualization environments, private clouds, and mixed workloads that require predictable performance and straightforward management. The design targets teams responsible for virtual infrastructure, enterprise applications, and Virtual Desktop Infrastructure (VDI), providing storage behavior and controls that align with how virtual machines and applications are created, moved, and retired.
The company’s offerings (enterprise storage) are built around flash-centric architectures that use solid-state media for predictable latency and throughput, with capacity-managed tiers that can include hybrid approaches. Tintri systems integrate with common hypervisors, including VMware vSphere and Microsoft Hyper-V, and expose storage constructs in ways that map directly to virtual machines or application instances. This enables operations such as cloning, snapshotting, and replication to be executed at a Virtual Machine (VM) or application level rather than at a coarse-grained volume level, which can reduce complexity for administrators who work primarily inside hypervisor and cloud consoles.
On the data management side, Tintri provides application-aware analytics and policy controls (data management, IT operations analytics). The platform collects telemetry about I/O behavior, capacity consumption, and performance per VM or application and can surface this information in dashboards used for capacity planning and troubleshooting. Administrators can set per-VM QoS policies to allocate performance resources and avoid noisy neighbor issues when many workloads share the same storage system. This positioning aligns Tintri with categories such as virtualization-optimized storage, AIOps-assisted storage management, and application-centric data services.
Automation and integration capabilities are oriented toward enterprise workflows and Infrastructure-as-Code (IaC) patterns. Tintri exposes APIs and supports scripting to tie storage provisioning, cloning, and lifecycle operations into broader orchestration frameworks used in data centers and private clouds (cloud infrastructure). This allows infrastructure teams to incorporate storage tasks into automated pipelines that also manage compute and network resources. The systems are typically deployed in racks within enterprise data centers and connected over standard Ethernet or SAN networks, depending on the model and configuration.
Within a directory or marketplace context, Tintri fits into enterprise storage arrays, virtualization-aware storage, and analytics-driven storage management categories. Its primary solution areas include VM-aware storage platforms (enterprise storage), application-aware performance and capacity analytics (IT operations analytics), and policy-based data services such as snapshots, replication, and QoS (data protection and management). These characteristics make Tintri relevant for organizations that operate dense virtualization clusters, service provider environments, or private cloud platforms and that require storage behavior aligned with VM and application management paradigms.