Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
Fivetran
Stitch
Hevo Data
Xplenty
Talend Data Integration
Supermetrics
Airbyte
DataTap
Apache Beam FivetranApache Beam might be a bit more popular than Fivetran. We know about 14 links to it since March 2021 and only 12 links to Fivetran. 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 / 3 months ago
Apache Beam is one of many tools that you can use. Source: 5 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: over 1 year ago
Even looking past these limitations, internal scripts invariably require development and maintenance time, and as any developer knows, can break at the worst of times :) Method #2: Use Zapier? (https://zapier.com) Want to use Zapier to do this? You can’t. Not only because it doesn’t track deletes, updates to existing records, and only does one way syncs. But because Snowflake isn’t supported. Method #3:... - Source: Hacker News / about 1 year ago
Disclaimer: I work for Fivetran, a data integration company. Source: over 1 year ago
Disclaimer: I'm a product evangelist for a data integration company called Fivetran, so I'm shamelessly shilling here. Source: almost 2 years ago
I really like the theme they’re using on https://fivetran.com. Source: almost 2 years ago
From experience then, believe me when I say you don't want to build these. Thankfully, ETL products like Fivetran and Stitch run and maintain these extraction processes for you. - Source: dev.to / about 2 years ago
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Stitch - Consolidate your customer and product data in minutes
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Hevo Data - Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. Get near real-time data pipelines for reporting and analytics up and running in just a few minutes. Try Hevo for Free today!
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.