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asyncoro VS Spark Streaming

Compare asyncoro VS Spark Streaming and see what are their differences

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asyncoro logo asyncoro

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

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • asyncoro Landing page
    Landing page //
    2021-01-11
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

asyncoro videos

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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 asyncoro and Spark Streaming)

asyncoro

Spark Streaming

Big Data
18 18%
Big Data
82% 82
Stream Processing
9 9%
Stream Processing
91% 91
Runtime
100 100%
Runtime
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

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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.

asyncoro mentions (0)

We have not tracked any mentions of asyncoro yet. Tracking of asyncoro 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 / 3 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 asyncoro and Spark Streaming, you can also consider the following products

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

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

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

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

vert.x - From Wikipedia, the free encyclopedia

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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