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Awesome List
A curated list of awesome big data frameworks, ressources and other awesomeness.
GitHub stars and default-branch commits for oxnr/awesome-bigdata.
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An Open Source Machine Learning Framework for Everyone
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Pulsar - distributed pub-sub messaging system
YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
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.
Web UI for PrestoDB.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Distributed object store
Elassandra = Elasticsearch + Apache Cassandra
Bloomberg's distributed RDBMS
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Fast and reliable message broker built on top of Kafka.
Netflix's distributed Data Pipeline
A flexible, partial, out-of-order and real-time typeahead search library
Map-Reduce for Clojure
Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
One database for user-user (follows), user-item (likes), and item-item (related items) interactions — precomputed, served in real-time