
Mem
Notion
Obsidian.md
Tana
Logseq
Reflect
Supermemory
Evernote
Apache Storm
Apache Spark
Apache Flink
Qubole
Hadoop
Google BigQuery
Apache Kafka
Amazon Kinesis
Mem
Apache StormBased on our record, Apache Storm should be more popular than Mem. 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.
Eg https://get.mem.ai/ approach or https://beta.omnilabs.ai/ But then tailored to Obsidian. Source: over 3 years ago
I use Notion but I have heard that the andriod experience is not the best. You may want to try Coda, Obsidian, Mem or Anytype. I know of a few others but I think for the purpose of a second brain these can do the trick itโs just about preference and which experience you like the most. Source: about 4 years ago
Https://get.mem.ai right now it isa web app they have an iOS app in beta. Source: about 4 years ago
For supervising the trauma team I've also been playing with "Mem". https://get.mem.ai/. Source: over 4 years ago
I really love obsidian. Sure I t has a couple of wrinkles, the mobile app is new still and has a couple more wrinkles, but it scratches so many itches I have around note taking. Currently using it alongside https://get.mem.ai/ and love the pairing for knowledge base and real time notes. Iโm working from n combining the two to come up with my ideal set up. - Source: Hacker News / almost 5 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lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem.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 / over 3 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
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Tana - Welcome to the future of work. Build anything. Use it for everything. Kill your SaaS subscriptions.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.