Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression. Learn more →
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featureform reviews and mentions
What’s your process for deploying a data pipeline from a notebook, running it, and managing it in production?
4 projects | reddit.com/r/dataengineering | 13 Oct 2022
Feature store: new hot one: https://www.featureform.com/
[D] Your Preferred Feature Stores?
8 projects | reddit.com/r/datascience | 3 Jul 2022
How to Build a Recommender System with Embeddinghub
2 projects | dev.to | 19 May 2022
Usually embeddings — dense numerical representations of real-world objects and relationships, expressed as a vector — are stored in database servers such as PostgreSQLEmbedding. However Embeddinghub makes it easier to store your embeddings and load them. You can get started with minimal setup, and it also makes your code look less verbose as compared to, say, building a KNN model using scikit-learn.
[P] Embeddinghub: A vector database built for ML embeddings
4 projects | reddit.com/r/MachineLearning | 14 Sep 2021
A note from our sponsor - InfluxDB
www.influxdata.com | 24 Mar 2023
featureform/featureform is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.