ReductStore
stick_man
ReductStore | stick_man | |
---|---|---|
44 | 1 | |
144 | 2 | |
4.3% | - | |
9.3 | 9.1 | |
about 20 hours ago | 7 days ago | |
Rust | C++ | |
BUSL-1.1 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ReductStore
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Time Series Blob Data: 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.
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ReductStore v1.9.0 Released
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.
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How to Use Reductstore as a Data Sink for Kafka
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time.
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
ReductStore is a time-series database for blob data, optimized for edge computing and complements Kafka by providing a data storage solution for files larger than 1MB–Kafka's maximum message size.
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How To Implement Data Streaming In PyTorch From A Remote Database
Moreover, the challenge is even trickier when there is simply too much data to store the whole dataset on disk and we need to stream data from a remote database such as ReductStore.
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How to Keep a History of MQTT Data With Node.js
The MQTT protocol is widely used in IoT applications because of its simplicity and ability to connect different data sources to applications using a publish/subscribe model. While many MQTT brokers support persistent sessions and can store message history as long as an MQTT client is not available, there may be cases where data needs to be stored for a longer period. In such cases, it is recommended to use a time series database. There are many options available, but if you need to store unstructured data such as images, sensor data, or Protobuf messages, consider using ReductStore. It is a time series database specifically designed for storing large amounts of blob data and optimized for IoT and edge computing.
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From Lab to Live: Implementing Open-Source AI Models for Real-Time Unsupervised Anomaly Detection in Images
ReductStore is an innovative time-series database designed specifically for managing Blob data, making it ideal for our needs in real-time unsupervised anomaly detection. The true strength of ReductStore lies in its ability to store not just raw data but also AI labels within the metadata and models at the edge.
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ReductStore 1.6.0 has been released with new license and client SDK for Rust
We are pleased to announce the release of the latest minor version of ReductStore, 1.6.0. ReductStore is a time series database designed for storing and managing large amounts of blob data.
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How to Choose the Right MQTT Data Storage for Your Next Project
ReductStore{:target="_blank"} is a unique time-series database that offers a specialized database for storing MQTT data in the form of time-series blob data.
- reductstore: NEW Data - star count:100.0
stick_man
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C++ Show and Tell - June 2023
The codebase is C++/Qt.https://github.com/jwezorek/stick_man
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