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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.

ReductStore and IoTDB: Time Series Data Specialists

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

IoTDB and ReductStore Comparison

With the vastly growing amount of data produced world-wide, it is no surprise that there are an ever increasing number or methods and approaches to dealing with this influx. It is also no surprise that specialized solutions are developed for subsets of this data. Reductstore, as we've covered in numerous previous articles, is highly specialized in handling one such subset, time-series data. But it is not the only one. IoTDB is another such solution, and also very good at what it does. In this article, we will help you to understand the differences between the two, and where one can excel over the other.

3 Ways to Store ROS Topics

· 8 min read
Gracija Nikolovska
Software Developer - C#, Python, ROS

Introduction Diagram

The Robot Operating System (ROS) is a powerful framework for developing and managing robotic systems. It simplifies integration, communication, and development through various tools and libraries. ROS is built around a communication system that uses a publish-subscribe model to connect components, where some, like sensors or cameras, act as publishers, and others, like motors or processors, are subscribers. The data shared between these components is organized into topics.

To make the most of this data, especially when it's needed later for analysis, debugging, or sharing, it's crucial to store it efficiently. In this article, we'll dive into three methods for storing ROS topics, comparing their benefits and limitations to help you choose the best one for your needs. In case you need to gain a broader understanding of how to handle robotics data effectively, make sure to check out our article on storing and managing robotics data first.