Stornamics provides database solutions featuring anywhere-to-anywhere replication for cloud, on-premise, or hybrid environments. The platform simplifies data management through intelligent synchronization and custom workflow processing via EdgeCompute. It is built for scale, offering parallel querying and auto-scaling across distributed database nodes.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations managing data across distributed environments face challenges with data synchronization, consistency, and accessibility. Maintaining data integrity across cloud, on-premise, and hybrid infrastructures often requires complex network configurations and significant operational overhead.
Solution
Stornamics provides a globally distributed database replication engine designed for anywhere-to-anywhere data synchronization across diverse infrastructures. Its intelligent sync technology enables self-replicating database nodes, simplifying network requirements by allowing nodes to communicate directly without a central service bottleneck. The platform is engineered for scalability, supporting parallel querying and automatic scaling across all its product offerings. This architecture ensures data availability and consistency, whether data resides in a single cloud, multiple on-premise locations, or a hybrid combination.
Target Audience
Stornamics targets organizations with complex database needs across multiple locations, including those requiring distributed cloud databases, logging and telemetry analytics, data analytics and machine learning, and collaborative research environments.
Features
- Globally distributed asynchronous replication engine for data synchronization across cloud, on-premise, and hybrid environments.
- Intelligent sync technology enabling self-replicating nodes that communicate directly, reducing reliance on centralized services.
- Configuration management for service discovery, authentication, and authorization across distributed nodes.
- Support for multiple sites and zones, allowing granular control over data retention policies and high availability configurations.
- EdgeCompute workflow engine for real-time data processing and triggering actions based on replication events.
- Guardian service for continuous scanning of data for PII, security issues, and automatic data classification.
- Built for scale with support for horizontal scaling, data sharding, and parallel query execution across nodes.
- Command Line Interface (CLI) tool for cross-platform management and automation.
- Products include CacheDB, TimeDB, and LogDB, with planned releases for Guardian and EdgeCompute.