Spark Streaming

Spark Streaming

Apache Software Foundation
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Careerminds
    46 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google Cloud Run
    349 Ratings
    Visit Website
  • Couchbase
    418 Ratings
    Visit Website
  • Docmosis
    51 Ratings
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • Apify
    1,714 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website

About

Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.

About

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers

Audience

Real-Time Data Streaming solution for businesses

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Pathway
Founded: 2020
France
pathway.com

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

ksqlDB

ksqlDB

Confluent
Samza

Samza

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Artificial Intelligence Features

Chatbot Supported
For eCommerce Not Supported
For Healthcare Not Supported
For Sales Not Supported
Image Recognition Not Supported
Machine Learning Supported
Multi-Language Not Supported
Natural Language Processing Not Supported
Predictive Analytics Supported
Process/Workflow Automation Not Supported
Rules-Based Automation Not Supported
Virtual Personal Assistant (VPA) Not Supported

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Supported
Model Training Not Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Not Supported

Integrations

Amazon S3 Supported
Apache Kafka Supported
Apache Spark Not Supported
MongoDB Supported
MySQL Supported
PostgreSQL Supported
PubSub+ Platform Not Supported
Python Supported
Rust Supported
Tangentia TiA Gateway Supported

Integrations

Amazon S3 Not Supported
Apache Kafka Not Supported
Apache Spark Supported
MongoDB Not Supported
MySQL Not Supported
PostgreSQL Not Supported
PubSub+ Platform Supported
Python Not Supported
Rust Not Supported
Tangentia TiA Gateway Not Supported
Claim Pathway and update features and information
Claim Pathway and update features and information
Claim Spark Streaming and update features and information
Claim Spark Streaming and update features and information