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Qdrant

22.2K
Volume
+99X+
Growth
exploding

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About the Topic

Open-source vector database and vector search engine written in Rust, designed to provide fast and scalable vector similarity search services. Key features include cloud-native scalability, high availability, and efficient handling of large-scale vector data, differentiating it from competitors by its performance and scalability. Qdrant is particularly useful for applications requiring high-performance vector search capabilities, such as machine learning, recommendation systems, and data analysis.

Qdrant was discovered on October 10th 2022 and it currently has a search volume of 22.2K with a growth of +99X+.

Key Indicators
Growth
  • Exploding
  • Regular
  • Peaked
Speed
  • Exponential
  • Constant
  • Stationary
Seasonality
  • High
  • Medium
  • Low
Volatility
  • High
  • Average
  • Low
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