Skip to main content

Alternative to MongoDB for Blob Data

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

ReductStore vs MongoDB

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.

Using Docker containers for straightforward setup, we'll examine the speed of each system. We'll go through setting up ReductStore buckets and preparing MongoDB collections, focusing on how to effectively store and access blob data for time series scenarios.

By conducting performance tests on binary data insertion and retrieval, we aim to provide insights into which system might best serve your application's needs.

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

Alternative to TimescaleDB for Blob Data

· 7 min read
Alexey Timin
Software Engineer - Database, Rust, C++

Get history of blobs with TimescaleDB

TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries. It is engineered up from PostgreSQL and offers the power, reliability, and ease-of-use of a relational database, combined with the scalability typically seen in NoSQL systems. It is particularly suited for storing and analyzing things that happen over time, such as metrics, events, and real-time analytics.

Since TimescaleDB is based on PostgreSQL, it supports blob data and can be used to store a history of unstructured data such as images, binary sensor data, or large text documents. In this article, we will use the database as a time-series blob storage and compare its performance with ReductStore, which is designed specifically for this use case.

TimescaleDB and ReductStore both have Python Client SDKs. We'll create simple Python functions to read and write data, then compare performance with different blob sizes. To repeat these benchmarks on your own machine, use this repository.

ReductStore v1.9.0 Released

· 2 min read
Alexey Timin
Software Engineer - Database, Rust, C++

We are pleased to announce the release of the latest minor version of ReductStore, 1.9.0. ReductStore is a time series database designed for storing and managing large amounts of blob data.

To download the latest released version, please visit our Download Page.

What’s New in 1.9.0?

This release, version 1.9.0, introduces several key improvements and features to enhance the overall performance and user experience. These updates include optimizations for disk space management, the inclusion of replication support in the Web Console, and the provision of license information in the HTTP API.