Pliops develops the XDP platform, which utilizes a Universal Storage Acceleration Engine to enhance data processing efficiency in cloud and enterprise data centers. This technology significantly improves throughput and reduces latency for both SQL and NoSQL databases, addressing the challenges of slow data access and high operational costs.
Funding
$165M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
A+8Founders
Product
Problem
Modern data centers face increasing demands for data processing, leading to bottlenecks, high latency, and increased operational costs for both SQL and NoSQL databases. Existing storage solutions struggle to efficiently manage data flow between applications and storage, hindering overall system performance.
Solution
Pliops addresses these challenges with its XDP platform, a Universal Storage Acceleration Engine designed to optimize data processing in cloud and enterprise environments. The platform overcomes bottlenecks by seamlessly managing data flow from application to storage. By accelerating key-value stores and databases, Pliops XDP significantly improves throughput, reduces latency, and enhances CPU utilization. The platform offers best-in-class data protection for enterprise SSD environments, increasing SSD endurance and capacity expansion while reducing rebuild times.
Target Audience
Pliops targets cloud service providers, enterprise customers, and GenAI developers who require high-performance, scalable, and cost-effective data processing and storage solutions for AI and database applications.
Features
- XDP-RAIDplus: Provides data protection, increasing full RAID performance and SSD endurance, while accelerating rebuild times and capacity expansion.
- XDP-AccelKV: Accelerates key-value storage engines like RocksDB and WiredTiger, increasing throughput and reducing latency while improving CPU utilization and capacity expansion.
- XDP-AccelDB: Accelerates SQL databases such as MySQL, MariaDB, and PostgreSQL, increasing throughput, reducing latency and improving CPU utilization and capacity expansion.
- Support for LLM inference acceleration.
- Seamless data flow management from application to storage.