The Fastest and Most Cost-Effective Cloud Storage for Time Series Objects
Designed for time-series data with records larger than a few kilobytes such as images, video, files, text, logs, ReductStore delivers faster performance at a fraction of the cost of traditional time-series databases.
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- 10x Faster Performance
- 1/10th the Storage Cost
- Scale to Petabytes
10x Faster Performance
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.
1/10th the Storage Cost
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.
Scale to Petabytes
ReductStore integrates tightly with cloud storage to provide efficient access to billions of time series records. Its iterator-based approach minimizes storage usage while intelligently caching unnecessary cloud synchronization. By synchronizing data in blocks rather than individual records, ReductStore significantly reduces I/O costs, making large-scale data management both fast and cost-effective.
