Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
CircleCI
Jenkins
Travis CI
Codeship
Buddy
Bitrise
Bamboo
Semaphore
Apache Beam CircleCIBased on our record, CircleCI should be more popular than Apache Beam. It has been mentiond 64 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.
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 4 months ago
Apache Beam is one of many tools that you can use. Source: 6 months ago
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago
What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: almost 2 years ago
In addition, Snyk can be easily integrated with various IDEs, including Visual Studio Code and PyCharm, as well as CI pipelines, such as Jenkins, CircleCI, and Maven, and workflows. - Source: dev.to / 3 days ago
Github Actions has many competitors in its category that allow you to run all kinds of code running on containers, such as Gitlab, Jenkins, CircleCI, etc. - Source: dev.to / 3 days ago
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / 10 days ago
CircleCI is a leading cloud-native CI/CD platform that empowers developers to rapidly build, test, and deploy their applications at scale. It is highly configurable and has rich integrations and performance optimization tools. These features have made it a favorite among modern development teams seeking agility and speed. - Source: dev.to / about 1 month ago
For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository. - Source: dev.to / 2 months ago
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.