GitKraken
SourceTree
GitHub Desktop
SmartGit
Tower
Fork
TortoiseGit
Git Extensions
Apache Storm
Apache Spark
Apache Flink
Qubole
Hadoop
Google BigQuery
Apache Kafka
Amazon Kinesis
GitKraken
Apache StormBased on our record, Apache Storm should be more popular than GitKraken. It has been mentiond 11 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.
I'll have to try this out. I'm currently a huge GitKraken[1] fan. [1] https://gitkraken.com. - Source: Hacker News / over 1 year ago
The Git CLI is terrifying and awful. It's far too easy to clobber your own work -- and that of others -- when the whole point of it was to prevent that. While you still need to really deeply understand several git concepts to use it, GitKraken[0] is the best GUI tool I've used in daily practice. It integrates well with git hosts and has an attractive and mostly comprehensible interface. Accordingly, it isn't free... - Source: Hacker News / over 3 years ago
I like GitKraken partially because it was originally loosely based on the look/feel of Guitar Hero. Source: over 4 years ago
This experience was also invaluable because I had a walking fountain of knowledge sitting next to me and was really cool about answering my questions and pointing out all code style errors in countless PR reviews. I cannot count the amount of times he had to explain me the whole rebase workflow. What really helped me improve my Git knowledge was GitKraken and other similar tools. - Source: dev.to / over 4 years ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 3 years ago
Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 3 years ago
Storm, a system for real-time and stream processing. - Source: dev.to / almost 4 years ago
Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: almost 4 years ago
Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 4 years ago
SourceTree - Mac and Windows client for Mercurial and Git.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.