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SphereEx

SphereEx provides a distributed database platform that utilizes cloud and big data technologies to enable organizations to efficiently manage and analyze large volumes of data across multiple locations. The solution offers automatic scaling of compute and storage resources, ensuring high availability and compliance while simplifying data connectivity and security.

Beijing, ChinaFounded 202121200+ followers
Updated 20 months ago

Funding

$10M 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.

VK
Funding rounds are not available yet.

Founders

Product

Problem

Managing and scaling databases across multiple cloud environments presents challenges in data connectivity, security, compliance, and performance, especially when dealing with large data volumes. Traditional database solutions often lack the elasticity and unified management capabilities required for modern, distributed applications.

Solution

SphereEx offers a distributed database platform designed to simplify data management and enhance performance across diverse cloud infrastructures. The platform leverages "Database Plus" and "Database Mesh" concepts to transform existing databases into distributed systems with features like data sharding, elastic scaling, and automatic data encryption. By providing a unified query interface and virtualization console, SphereEx streamlines database operations, reduces overhead, and ensures high availability. Its architecture supports compute and storage splitting, allowing for independent scaling of resources to meet performance SLAs in any environment.

Target Audience

SphereEx targets enterprises seeking to modernize their database infrastructure, improve data application performance, and efficiently manage large data volumes across multi-cloud environments.

Features

  • Non-intrusive solution with a unified query interface and virtualization console
  • Elastic scaling of compute and storage resources on multi-cloud environments (AWS, GCP, Azure, Alibaba Cloud)
  • Automatic data sharding for handling massive data storage and computation
  • Intelligent traffic governance for higher throughput and efficient query handling
  • Automatic data encryption to ensure data security and compliance
  • High availability guarantees on Kubernetes and native data sources
  • DistSQL, a SQL-like language, for managing distributed database clusters
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