Ideanote
The Guide
Monkkee
Brightidea
x-whnb
Viima
Idea Notebook
IdeaScale
Spark Streaming
Confluent
Amazon Kinesis
Google Cloud Dataflow
Apache Flink
Leo Platform
Lenses
Striim
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 Spark StreamingNo 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, Spark Streaming should be more popular than Ideanote. It has been mentiond 3 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.
From real-time whiteboards to goal-oriented idea collections with idea management. - Source: dev.to / over 2 years ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 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...
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Monkkee - Keep a private journal securely on the Internet – to provide a convenient user experience your...
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
