dispy Alternatives & Competitors

asyncoro is a Python framework for developing concurrent, distributed programs with asynchronous...

Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...

Open Source

The most intuitive platform to manage projects and teamwork.

Key monday.com features:

User-Friendly Interface Customization Collaboration Integrations

Visit website paid Free Trial $14.0 / Monthly (per seat)

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Key Spark Streaming features:

Scalability Integration Fault Tolerance Ease of Use

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications.

Key Node.js features:

Asynchronous and Event-Driven JavaScript Everywhere Large Community and NPM High Performance

Open-source software for reliable, scalable, distributed computing.

Key Hadoop features:

Scalability Cost-Effective Fault Tolerance Flexibility

Open Source

Package and share the news your community craves.

Key PitchEngine features:

Ease of Use Multimedia Integration SEO-Friendly Real-Time Updates

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

Key Apache Spark features:

Speed Ease of Use Advanced Analytics Scalability

Open Source

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Key Apache Kafka features:

High Throughput Scalability Fault Tolerance Durability

Open Source

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Key Amazon Kinesis features:

Real-time data processing Scalability Fully managed service Integration with AWS ecosystem

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

Key Qubole features:

Scalability Multi-cloud Support Unified Interface Cost Management

Open Source

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

Key Confluent features:

Scalability Real-Time Data Processing Comprehensive Ecosystem Ease of Use

Open Source

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

Key Apache Flink features:

Real-time Stream Processing Event Time Processing State Management Fault Tolerance

Open Source

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Key Google Cloud Dataflow features:

Scalability Fully Managed Unified Programming Model Integration