Based on our record, AWS CodePipeline should be more popular than Google Cloud Dataflow. It has been mentiond 28 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.
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
AWS CodePipeline is a fully managed CI/CD service offered by AWS. It automates the build, test, and deployment features of your release process. It is designed to provide a seamless integration experience with other AWS services and popular third-party tools. AWS Code Pipeline ensures rapid and reliable application and infrastructure updates, empowering developers to iterate swiftly and maintain high software... - Source: dev.to / about 2 months ago
AWS CodePipeline for streamlined continuous integration and delivery, ensuring security checks are automated at every stage. - Source: dev.to / 2 months ago
Build – Used for all CodeCommit repositories and CodePipelines that are deployed within the landing zone. - Source: dev.to / 5 months ago
Familiarity with CI/CD pipelines such as AWS CodePipeline and IaC (Infrastructure as a Service) such as AWS CloudFormation or Terraform is crucial for streamlining the software development and deployment processes. - Source: dev.to / 12 months ago
AWS CodePipeline: fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. - Source: dev.to / about 1 year ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.