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AWS OpsWorks VS Spark Streaming

Compare AWS OpsWorks VS Spark Streaming and see what are their differences

AWS OpsWorks logo AWS OpsWorks

Model and manage your entire application from load balancers to databases using Chef

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • AWS OpsWorks Landing page
    Landing page //
    2022-03-17
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

AWS OpsWorks videos

AWS re:Invent 2017: Automate and Scale Configuration Management with AWS OpsWorks (DEV331)

More videos:

  • Review - Announcing AWS OpsWorks for Chef Automate - January 2017 AWS Online Tech Talks

Spark Streaming videos

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 AWS OpsWorks and Spark Streaming)
DevOps Tools
100 100%
0% 0
Stream Processing
0 0%
100% 100
Continuous Integration
100 100%
0% 0
Data Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than AWS OpsWorks. 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.

AWS OpsWorks mentions (2)

  • EDA for AWS operations
    The solution was designed to serve managed Chef/Puppet to customers, unfortunately, all of them will reach End of Life withe the end of May 2024. During the time of writing this article (1-half of March), you can read about it on the public service page. OpsWorks. So as a summary, nice solution unfortunately based on Chef/Puppet, not a SaltStack, also the idea of stacks could be a blocker for a multi-cloud... - Source: dev.to / 3 months ago
  • AWS DEV OPS Professional Exam short notes
    AWS OpsWorks is a configuration management service that uses Chef, an automation platform that treats server configurations as code. OpsWorks uses Chef to automate how servers are configured, deployed, and managed across your Amazon Elastic Compute Cloud (Amazon EC2) instances or on-premises compute environments. OpsWorks has two offerings, AWS Opsworks for Chef Automate, and AWS OpsWorks Stacks. For more... - Source: dev.to / 3 months ago

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 AWS OpsWorks and Spark Streaming, you can also consider the following products

Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine

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

Chef - Automation for all of your technology. Overcome the complexity and rapidly ship your infrastructure and apps anywhere with automation.

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

Codenvy - Cloud workspaces for development teams.

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