Brightidea
Viima
Xmind
MindMeister
MindManager
FeatureMap
IdeaScale
Idea Market
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
With over 2 million users world wide 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.
Here at Brightidea, we believe that innovation is too important to be left to chance, and that every individual deserves an opportunity to have their voice heard.
Our focus is not only giving organizations the ability to readily crowdsource ideas and build on strategic plans, but also back every idea with complex data points to help you track, manage, and prioritize ideas to ensure the best ideas always win.
We are designed to fit any size, scale, or level of maturity when it comes to idea or innovation management. Brightidea helps you harness the power of ideas to help you foster a culture of innovation within the company.
Most recently, we've added the Whiteboard. Brightidea Whiteboard gives your team a place to brainstorm in your own infinite space via a browser. Create stickies for new ideas, upload images, draw with dynamic pen and marker tools, emote with rich reactions, leverage smart tools like timers to keep your meetings on track, and utilize all of your favorite idea and innovation management templates.
Wherever you're at in your innovation journey, our platform & people will help you get to the next level.
Brightidea Amazon EMRBased on our record, Amazon EMR seems to be more popular. It has been mentiond 10 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.
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
Viima - Viima is the simple, yet incredibly powerful Agile Innovation Platform that helps you go from ideas to innovations – at the speed and scale of a true innovator.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Xmind - Xmind is a brainstorming and mind mapping application.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
MindMeister - Create, share and collaboratively work on mind maps with MindMeister, the leading online mind mapping software. Includes apps for iPhone, iPad and Android.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost