1. Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

  2. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

  3. Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

  4. BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

  5. Train custom ML models with minimum effort and expertise

  6. Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

  7. Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

  8. python-recsys is a python library for implementing a recommender system.

  9. Heron is a realtime, distributed, fault-tolerant stream processing engine.

  10. logstash is a tool for managing events and logs.

  11. GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

  12. Confluent offers a real-time data platform built around Apache Kafka.


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This article was published on | Author: | Publisher: SaaSHub
Categories: Big Data, Databases, Data Dashboard