Ideanote
The Guide
Monkkee
Brightidea
x-whnb
Idea Notebook
Viima
Scrapbox
Hadoop
Apache Spark
Apache Cassandra
Apache Flink
PostgreSQL
MongoDB
Apache Storm
Apache Kafka
Ideanote is the #1 rated Idea Management solution for companies of all sizes. Its simplicity, fast onboarding and smart automation features mean you can accelerate your innovation without compromises. More than 100+ idea management features let you build your innovation funnel just the way you like.
Collect and manage ideas, engage customers and employees in your innovation, automate workflows and report on your innovation impact. Ideanote supports your business with easy idea and innovation management, open innovation challenges, continuous innovation and by lifting your employee engagement.
Use goal-driven idea collections to capture ideas from anyone in seconds - and end up with ideas that you’ll actually want to act on.
Use goal-driven idea collections to capture ideas from anyone in seconds - and end up with ideas that you’ll actually want to act on.
Use goal-driven idea collections to capture ideas from anyone in seconds - and end up with ideas that you’ll actually want to act on.
Ideanote HadoopNo features have been listed yet.
I've been using Ideanote for less than 6 months but it really helpful with my job! I work as Project Manager, Designer for Game Development company and everyday I work with our community members, Ideanote helps me to gather ideas and innovation from community, brainstorming with them and see what they need because the members can write their ideas too!
Based on our record, Hadoop seems to be a lot more popular than Ideanote. While we know about 15 links to Hadoop, we've tracked only 1 mention of Ideanote. 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.
From real-time whiteboards to goal-oriented idea collections with idea management. - Source: dev.to / over 2 years ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
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: about 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing. - Source: dev.to / over 1 year ago
The Guide - The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Monkkee - Keep a private journal securely on the Internet – to provide a convenient user experience your...
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Brightidea - With over 2 million users worldwide and $15+ billion in recorded business impact, Brightidea is ranked as the #1 Idea Management Platform globally and is the market leader in innovation management.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
