Time Series Blob Data: ReductStore vs. MongoDB

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • reduct-vs-mongodb

    Benchmarks for MongoDB and ReductStore in Python

  • For those interested in replicating our benchmarks or conducting their own evaluations, we've made our methods easily accessible through this repository.

  • ReductStore

    A time series database for storing and managing large amounts of blob data

  • In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • reduct-py

    ReductStore Client SDK for Python

  • ReductStore Client SDK for Python

  • MongoDB

    The MongoDB Database

  • In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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