Based on our record, Syncthing seems to be a lot more popular than Amazon EMR. While we know about 830 links to Syncthing, we've tracked only 10 mentions of Amazon EMR. 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
Second https://syncthing.net/ Cross platform, encrypted, tweakable. - Source: Hacker News / 16 days ago
- Raycast (https://www.raycast.com/) there's also a free version, I just prefer to support the author with a Pro purchase. - Homebrew (https://brew.sh/) - Visual Studio Code - SyncThing (https://syncthing.net/) - Fantastical (https://flexibits.com/fantastical) - MonitorControl (https://github.com/MonitorControl/MonitorControl#readme). - Source: Hacker News / 20 days ago
I've got another one on topic of self-hosted file sharing: - FileBrowser running in Docker (https://filebrowser.org/features) - Syncthing running in another container (https://syncthing.net/) Syncthing keeps the files on your PC, Mac, BSD systems updated, and FileBrowser can point to the share and supply a convenient web UI. It works for me, it's kind of like a local Dropbox-lite. - Source: Hacker News / about 2 months ago
Depending on what you're looking for, this is the kind of thing that P2P protocols were made for. Check out https://syncthing.net/. - Source: Hacker News / about 2 months ago
We use syncthing to share files between our machines. It avoids is having to use dropbox / OneDrive etc. You just choose a folder and it automatically syncs it in the background. https://syncthing.net/. - Source: Hacker News / 3 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Nextcloud - With Nextcloud enterprises host their own secure cloud solution for storage, collaboration & communication from any device, anywhere.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
FreeFileSync - FreeFileSync is a free open source data backup software that helps you synchronize files and folders on Windows, Linux and macOS.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Dropbox - Online Sync and File Sharing