---
title: Spark Streaming Reviews
meta_title: 'Spark Streaming Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 40 reviews by the users' company size, role or industry to
  find out how Spark Streaming works for a business like yours.
aggregate_rating:
  rating_value: 4.2
  review_count: 40
  scale: '5'
date_modified: '2026-07-12'
parent_category:
  name: Big Data
  url: https://www.g2.com/categories/big-data
---

# Spark Streaming Reviews
**Vendor:** The Apache Software Foundation  
**Category:** [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing)  
**Average Rating:** 4.2/5.0  
**Total Reviews:** 40
## About Spark Streaming
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.





## Spark Streaming Discussions
  - [What is Spark Streaming used for?](https://www.g2.com/discussions/what-is-spark-streaming-used-for)
  - [What is the difference between spark streaming and structured streaming?](https://www.g2.com/discussions/what-is-the-difference-between-spark-streaming-and-structured-streaming)
  - [How does Kafka integrate with spark streaming?](https://www.g2.com/discussions/how-does-kafka-integrate-with-spark-streaming)
  - [What are the main features of Apache spark?](https://www.g2.com/discussions/what-are-the-main-features-of-apache-spark)
  - [What is spark streaming checkpoint?](https://www.g2.com/discussions/what-is-spark-streaming-checkpoint)

- [View Spark Streaming pricing details and edition comparison](https://www.g2.com/products/spark-streaming/reviews?page=2&section=pricing&secure%5Bexpires_at%5D=2026-07-13+14%3A26%3A28+-0500&secure%5Bsession_id%5D=84f6653d-580f-44f4-8601-8503b0c6a597&secure%5Btoken%5D=18c4617c190abbd70081d86c1133f8febde61f95816d0c8228b7bf8d3fc1f866&format=llm_user)

## Spark Streaming Features
**Data**
- Data Processing
- Data Sources
- Integration
- Real-Time Processing

**Analytics**
- Reporting & Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top Spark Streaming Alternatives
  - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) - 4.3/5.0 (82 reviews)
  - [Confluent](https://www.g2.com/products/confluent/reviews) - 4.4/5.0 (111 reviews)
  - [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) - 4.2/5.0 (43 reviews)