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Optimized for Speed

Optimized for Speed

Designed for high-performance workloads, ReductStore ensures fast access and processing of time-series data, even under heavy demand. With faster read and write speeds than traditional time series and blob storage solutions, it is ideal for AI, IoT, and edge applications.

Reduce Storage Costs

ReductStore leverages Google Cloud to provide a cost-effective solution. By integrating with blob storage, it optimizes storage costs while maintaining high performance. This allows you to store massive amounts of data at a lower cost without sacrificing access speed or reliability.

Reduce Storage Costs
Easy to Scale

Easy to Scale

ReductStore grows with your data. Whether you're managing petabytes of data or billions of time-series records, the platform automatically scales to meet your needs without complex configuration, ensuring that your data infrastructure is always ready to grow.

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Cloud StorageCloud Storage
How does ReductStore optimize data management for the cloud?
ReductStore simplifies cloud data management by providing fast, scalable storage specifically for time-series unstructured data, leveraging Google Cloud for cost efficiency and easy scaling.
What makes ReductStore secure in the cloud?
ReductStore's cloud solution is built on Google infrastructure with deep security controls and SOC2 certification to ensure robust protection. Deploy on our account or yours and manage access with granular permissions.
How does ReductStore handle edge-to-cloud data synchronization?
ReductStore provides data replication between any instance, including edge devices and cloud storage, with label and metadata filtering to ensure only relevant data is copied.