ClickUp VS Amazon EMR

ClickUp Reviews

1. Edi Malkovich    

   8 months ago
   Great product

   All-in-one tool. We use it for docs, project management, tasks, wiki and so on. Awesome product!

2. Christopher Guillou    

   Working at CCG Communication / Photo | over 3 years ago
   Awesome, complete and exciting platform !

   Been using Clickup for 8 months now and can't imagine life/work without it ... Very complete and in constant improvement thanks to a great team.

Amazon EMR Reviews

ClickUp mentions (108)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Clickup.com — Project management. Free, premium version with cloud storage. Mobile applications and Git integrations are available. - Source: dev.to / 3 months ago

• Creating Issues in GitHub

  For most teams who don't have the option to subscribe to popular Project Management apps like JIRA, Asana, ClickUp, or Monday, you can make use of GitHub's issue management system to track the bugs in your application. - Source: dev.to / 8 months ago

• Need your feedback on choosing LLM App for a demo

  Create a unified live to-do list from different task builders. We can unify tasks from google doc assignments and clickup tasks. Source: 9 months ago

• The 8 best CRMs for small business in 2023

  ClickUp is an all-in-one productivity platform. It’s designed for planning projects, managing tasks, and communicating with team members. Source: 9 months ago

• Top 5 Project Management Tools Platforms Solutions

  Clickup is perfect for huge teams. Tools for communication, scheduling, and planning are included in the software. It is also visually appealing, allowing you to make graphs, calendars, lists, and charts. ClickUp features fundamental reporting. - Source: dev.to / 9 months ago

Amazon EMR mentions (10)

• 5 Best Practices For Data Integration To Boost ROI And Efficiency

  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

• What compute service i should use? Advice for a duck-tape kind of guy

  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

• Processing a large text file containing millions of records.

  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: almost 2 years ago

• How to use Spark and Pandas to prepare big data

  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

• Beginner building a Hadoop cluster

  Check out https://aws.amazon.com/emr/. Source: about 2 years ago