High-Performance
Shared Block Storage
Up to 3x More Capacity at Lower $/TB
Organizations look to keep up with surging data storage requirements with high-capacity SSDs but are challenged with blast radius concerns. Current data protection methods like RAID 10 use excessive redundancy in array mirroring, wasting significant SSD capacity, and RAID 5/6 schemes penalize storage performance. With all existing technologies, including erasure coding and replication, drive failures disrupt performance and long rebuild times violate SLAs. See how Pliops XDP enables
high-performance software-defined storage solutions to address density
and reliability requirements.
Increase
Storage Density
Dramatically increase effective storage density using QLC SSDs
Drive Fail
Protection
Eliminate server downtime with full performance RAID 5+ protection
Enhanced SSD
Endurance
Extend QLC SSD endurance life cycle by significantly reducing IO amplification
Significantly
Lower $/TB
Increase effective storage capacity while lowering overall cost/TB
Pliops XDP At Work
Case Study: Top 5 CSP Storage Service XDP Benefits
Customer Benefits
3x
Increase effective storage capacity
FTT n+’1’
Isolate drive failures from clusterperformance impact (FTT n+’1’)
40%↓
Reduced TCO*
1.5x
Improved endurance using QLC vs. SW TLC
Reduce carbon footprint considerably
Current Software Based Solution vs. Accelerated, High-Capacity Solution with Pliops
Current Software Based Solution
vs.
Accelerated, High-Capacity Solution with Pliops
10+2 Servers
with 2 Erasure Coding
1.5PB
Usable Capacity
>1500
Rebuilds/Year
10+2 Servers
with 2 Erasure Coding
4.3PB
Usable Capacity
0 SSD-Related
Failures/Year
Pliops Multiplies Application Workload Performance
The Impact of Pliops XDP
Hear from our CTO & Co-Founder, Moshe Twitto as he discusses the impact of the Pliops Extreme Data Processor. Software developers used to be able to count on Moore’s Law to deliver faster performance with each generation of CPU but Moore’s Law is slowing to a crawl right when data-intensive cloud and enterprise applications like relational and NoSQL databases, analytics, and ML are booming.
