H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Upserts, Deletes And Incremental Processing on Big Data.
Apache Spark - A unified analytics engine for large-scale data processing
GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
Apache Kafka - A distributed event streaming platform
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