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.
No 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, Google Cloud Dataflow seems to be a lot more popular than Ideanote. While we know about 14 links to Google Cloud Dataflow, 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
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
The Guide - The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Monkkee - Keep a private journal securely on the Internet – to provide a convenient user experience your...
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?