.NET for Apache Spark

What is .NET for Apache Spark?

With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data.

.NET for Apache Spark is a tool in the Development & Training Tools category of a tech stack.

.NET for Apache Spark Pros & Cons

Pros of .NET for Apache Spark

No pros listed yet.

Cons of .NET for Apache Spark

No cons listed yet.

.NET for Apache Spark Integrations

Apache Spark, .NET, F#, C#, Ubuntu and 2 more are some of the popular tools that integrate with .NET for Apache Spark. Here's a list of all 7 tools that integrate with .NET for Apache Spark.

Apache Spark

.NET

Ubuntu

Azure Databricks

Apache Flex

.NET for Apache Spark Alternatives & Comparisons

What are some alternatives to .NET for Apache Spark?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

.NET for Apache Spark Integrations

Apache Spark, .NET, F#, C#, Ubuntu and 2 more are some of the popular tools that integrate with .NET for Apache Spark. Here's a list of all 7 tools that integrate with .NET for Apache Spark.