SparkML Insights

What is SparkML?

Spark MLlib (or Spark ML) is Apache Spark's machine learning library. It provides a variety of machine learning algorithms (classification, regression, clustering, collaborative filtering), feature transformations, evaluation, and ML pipeline construction tools. It is commonly used for building scalable machine learning models for big data applications.

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What other technologies are related to SparkML?

SparkML Competitor Technologies

MXNet

MXNet is a deep learning framework that competes with MLlib for certain machine learning tasks.

mentioned alongside SparkML in 25% (1.7k) of relevant job posts

TensorFlow

TensorFlow is a deep learning framework that competes with MLlib for certain machine learning tasks, especially deep neural networks.

mentioned alongside SparkML in 2% (4.2k) of relevant job posts

H2O.ai

H2O.ai is a machine learning platform that provides distributed algorithms that compete with SparkML.

mentioned alongside SparkML in 10% (460) of relevant job posts

PyTorch

PyTorch is a deep learning framework that competes with MLlib for certain machine learning tasks, especially deep neural networks.

mentioned alongside SparkML in 1% (1.9k) of relevant job posts

Keras

Keras is a high-level API for building neural networks that can be used with TensorFlow, Theano, or CNTK, and thus serves as a competitor in the deep learning space.

mentioned alongside SparkML in 2% (906) of relevant job posts

Caffe2

Caffe2 is a deep learning framework that competes with MLlib, particularly for computer vision tasks. (Now merged into PyTorch).

mentioned alongside SparkML in 17% (115) of relevant job posts

Mahout

Mahout is a machine learning library, formerly closely associated with Hadoop, that offers some competing algorithms to SparkML.

mentioned alongside SparkML in 15% (126) of relevant job posts

CNTK

CNTK is a deep learning framework that competes with MLlib for certain machine learning tasks.

mentioned alongside SparkML in 19% (96) of relevant job posts

SparkML Complementary Technologies

SciPy

SciPy provides numerical routines and algorithms that can be used in conjunction with SparkML for data processing and analysis.

mentioned alongside SparkML in 10% (1.8k) of relevant job posts

scikit-learn

Scikit-learn provides a wide range of machine learning algorithms that can be used with Spark for large-scale data analysis, often for model exploration before scaling up with SparkML.

mentioned alongside SparkML in 4% (3.6k) of relevant job posts

RDD caching

RDD caching is a Spark feature that can significantly improve the performance of iterative machine learning algorithms used in SparkML.

mentioned alongside SparkML in 100% (63) of relevant job posts