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.NET for Apache Spark VS Hazelcast

Compare .NET for Apache Spark VS Hazelcast and see what are their differences

.NET for Apache Spark logo .NET for Apache Spark

.NET for Apache Spark™ provides C# and F# language bindings for the Apache Spark distributed data analytics engine. Supported on Linux, macOS, and Windows.

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java
  • .NET for Apache Spark Landing page
    Landing page //
    2023-05-23
  • Hazelcast Landing page
    Landing page //
    2023-05-05

.NET for Apache Spark videos

No .NET for Apache Spark videos yet. You could help us improve this page by suggesting one.

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Hazelcast videos

Hazelcast Introduction and cluster demo

More videos:

  • Review - Comparing and Benchmarking Data Grids Apache Ignite vs Hazelcast
  • Demo - Hazelcast Cloud Enterprise - Getting Started Demo Video

Category Popularity

0-100% (relative to .NET for Apache Spark and Hazelcast)
PHP Web Framework
100 100%
0% 0
Databases
0 0%
100% 100
Data Integration
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare .NET for Apache Spark and Hazelcast

.NET for Apache Spark Reviews

We have no reviews of .NET for Apache Spark yet.
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Hazelcast Reviews

HazelCast - Redis Replacement
Hazelcast IMDG provides a Discovery Service Provider Interface (SPI), which allows users to implement custom member discovery mechanisms to deploy Hazelcast IMDG on any platform. Hazelcast® Discovery SPI also allows you to use third-party software like Zookeeper, Eureka, Consul, etcd for implementing custom discovery mechanism.
Source: hazelcast.org

Social recommendations and mentions

Based on our record, .NET for Apache Spark seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

.NET for Apache Spark mentions (3)

  • Debug dotnet Spark using Databricks-connect
    I assume you are talking about this https://dotnet.microsoft.com/en-us/apps/data/spark. Source: over 1 year ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Good question! The API and the authoring experience is .NET, but the backend is Apache Spark which is built on the JVM. We use the .NET for Apache Spark to do the parallization. Source: almost 2 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Yes that's correct. SynapseML builds on top of the Apache Spark for .NET project which provides .NET support for the Apache Spark distributed computing framework. Apache Spark is written in Scala (a language on the JVM) but has language bindings in Python, R, .NET and other languages. This release adds full .NET language support for all of the models and learners in the SynapseML library so you can author... Source: almost 2 years ago

Hazelcast mentions (0)

We have not tracked any mentions of Hazelcast yet. Tracking of Hazelcast recommendations started around Mar 2021.

What are some alternatives?

When comparing .NET for Apache Spark and Hazelcast, you can also consider the following products

Apache Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

memcached - High-performance, distributed memory object caching system

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.