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SIGMOD 2024

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August 6, 2024
13 min
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Reproducible Data for the AI Lakehouse

We present how Hopsworks leverages its time-travel capabilities for feature groups to support reproducible creation of training datasets using metadata.

Jim Dowling
July 25, 2024
8 min
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RonDB: A Real-Time Database for Real-Time AI Systems

Learn more about how Hopsworks (RonDB) outperforms AWS Sagemaker and GCP Vertex in latency for real-time AI databases, based on a peer-reviewed SIGMOD 2024 benchmark.

Mikael Ronström
July 23, 2024
9 min
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From Lakehouse to AI Lakehouse with a Python-Native Query Engine

Read how Hopsworks generates temporal queries from Python code, and how a native query engine built on Arrow can massively outperform JDBC/ODBC APIs.

Jim Dowling
July 10, 2024
24 min
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The Feature Store Makes Your Data Warehouse Easy to Use for AI

In this article, we cover the added value of a feature store over a data warehouse when managing offline data for AI.

Jim Dowling
July 8, 2024
14 min
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The Journey from Star Schema to Snowflake Schema in the Feature Store

In this article we introduce the snowflake schema data model for feature stores, and show how it helps you include more features to make better predictions

Davit Bzhalava
July 1, 2024
30 min
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The Taxonomy for Data Transformations in AI Systems

This article introduces a taxonomy for data transformations in AI applications that is fundamental for any AI system that wants to reuse feature data in more than one model.

Manu Joseph
June 25, 2024
25 min
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Modularity and Composability for AI Systems with AI Pipelines and Shared Storage

We present a unified software architecture for batch, real-time, and LLM AI systems that is based on a shared storage layer and a decomposition of machine learning pipelines.

Jim Dowling