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IronMQ VS Spark Streaming

Compare IronMQ VS Spark Streaming and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

IronMQ logo IronMQ

IronMQ is the distributed systems together by providing a reliable way to communicate between services and components.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • IronMQ Landing page
    Landing page //
    2021-10-03
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

IronMQ videos

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IronMQ, the fastest industrial strength MQ available. Deploy anywhere, including fully On premise.

More videos:

  • Review - IronMQ as a Celery Transport
  • Review - IronWorker and IronMQ: Cron jobs and messaging in the cloud

Spark Streaming videos

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Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to IronMQ and Spark Streaming)

IronMQ

Spark Streaming

Data Integration
100 100%
Data Integration
0% 0
Stream Processing
21 21%
Stream Processing
79% 79
Data Management
0 0%
Data Management
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0

User comments

Share your experience with using IronMQ and Spark Streaming. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare IronMQ and Spark Streaming

IronMQ Reviews

Are Free, Open-Source Message Queues Right For You?
Iron.io's IronMQ provides a compelling alternative to open-source messaging queues. It is a highly available message queue service built primarily for the cloud. IronMQ can run on any public or private cloud, or on-premise, and offers robust functionality and strong performance. It addresses many of the challenges open-source tools present, offering robust support,...
Source: blog.iron.io

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Spark Streaming 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.

IronMQ mentions (0)

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

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing IronMQ and Spark Streaming, you can also consider the following products

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

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

RabbitMQ - RabbitMQ is an open source message broker software.

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

Azure Logic Apps - Discover the leading Integration Platform as a Service (iPaaS) that enables key enterprise scenarios for developers to build powerful integration solutions quickly.

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

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