AWS Step Functions vs Google Cloud Dataflow
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization. | AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly. |
Fully managed;
Combines batch and streaming with a single API;
High performance with automatic workload rebalancing
Open source SDK; | - |
Statistics | |
Stacks 219 | Stacks 236 |
Followers 497 | Followers 391 |
Votes 19 | Votes 31 |
Pros & Cons | |
Pros
| Pros
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What are some alternatives to Google Cloud Dataflow, AWS Step Functions?
Amazon Kinesis
Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.
Amazon Kinesis Firehose
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.
Google Keep
It is a note-taking service developed by Google. It is available on the web, and has mobile apps for the Android and iOS mobile operating systems. Keep offers a variety of tools for taking notes, including text, lists, images, and audio.
Amazon SWF
Amazon Simple Workflow allows you to structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state.
Workfront
It allows user to manage projects in one place. It helps marketing, IT, & enterprise teams conquer chaos by improving productivity, collaboration, and visibility.
Taskworld
It is designed to facilitate project and task management, collaboration, delegation, communication, knowledge management, measure progress and provide performance metrics for evidence-based evaluations within teams.
Twister2
It is a high-performance data processing framework with capabilities to handle streaming and batch data. It can leverage high-performance clusters as well we cloud services to efficiently process data.
