#big-data

Keyvi - the key value index. It is an in-memory FST-based data structure highly optimized for size and lookup performance.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads

Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models

Hazelcast Node.js Client

Kubernetes operator for YTsaurus.

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.

🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.

Apache Paimon Vector Index: pure Rust IVF-PQ for data lake vector search.