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Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

A data scientist specializing in machine learning, AI, Python, and TypeScript, with a strong interest in applying these technologies to data-driven projects and innovative AI solutions.

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ReductStore vs. MinIO: Beyond Benchmarks

· 7 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

MinIO vs ReductStore

As data-driven applications evolve, the need for efficient storage solutions continues to grow. ReductStore and MinIO are two powerful solutions designed to handle massive amounts of unstructured data, but they serve different purposes.

While ReductStore is optimized for time-series object storage with a focus on unstructured data such as sensor logs, images, and machine-generated data for robotics and IIoT, MinIO is a high-performance object storage system built for scalable, cloud-native applications with a focus on S3 compatibility and enterprise-wide storage needs.

In this article, we'll explore the differences between ReductStore and MinIO, examine where each excels, and discuss how they can be used together to build a more comprehensive data storage solution.

ReductStore vs. TimescaleDB: How to Choose the Right Time-Series Database

· 7 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

ReductStore vs TimescaleDB

With the rapid growth of time-series data in AI, IoT, and industrial automation, choosing the right database solution can significantly impact performance, scalability, and efficiency. As we covered briefly in our whitepaper, ReductStore and TimescaleDB are two powerful but distinct solutions, each designed to handle time-series data in different ways. ReductStore specializes in unstructured time-series data, making it ideal for edge computing and large binary objects. TimescaleDB, on the other hand, is an extension of PostgreSQL, optimized for structured time-series data with robust querying capabilities. In this article, we'll explore these differences between ReductStore and TimescaleDB, as well as their other strengths, and when to use each.

ReductStore vs. MongoDB: Which One is Right for Your Data?

· 7 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

ReductStore and MongoDB Comparison

With the rapid expansion of data-driven applications, choosing the right database for your workload has never been more crucial. As data complexity increases, so do the number of specialized solutions. ReductStore, as we've covered before, is a powerful alternative for handling time series unstructured data, but it's not the only player in the space. MongoDB, one of the most widely used NoSQL databases, also offers an effective solution for managing large-scale data. However, each has their own key areas of strength. In this article, we'll break down the differences between ReductStore and MongoDB, and help you determine which is best suited for your needs.