Software Alternatives & Reviews

Wrike VS Amazon EMR

Compare Wrike VS Amazon EMR and see what are their differences

Wrike logo Wrike

Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Wrike Landing page
    Landing page //
    2023-07-13
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Wrike videos

Wrike Review, Features and Benefits Overview: Is it Still Worth Using in 2020?

More videos:

  • Review - Wrike Review | Online Project Management Tool | Pearl Lemon Reviews
  • Demo - Wrike Project Management Demo

Amazon EMR videos

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Category Popularity

0-100% (relative to Wrike and Amazon EMR)
Project Management
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Task Management
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using Wrike and Amazon EMR. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Wrike and Amazon EMR

Wrike Reviews

Project Management vs Workflow Management — Wrike vs Pneumatic
Custom phases can be added. However, tasks are moved manually between them. Wrike errs on the side of flexibility, giving users a very powerful tool for creating and managing projects and tasks with them, but all the actual management has to be done by the users.
Breeze vs. Wrike: making project management easy
Wrike is overwhelming for new users, especially those with little experience in project management software. Wrike is slow and laggy at times, especially when dealing with large amounts of data. Breeze is quick and responsive, easy to use, and has just enough features that you need.
Source: www.breeze.pm
The Ultimate List of 20 Best AI Work Management Tools
Wrike’s Work Intelligence: Wrike utilizes artificial intelligence to prioritize and automate repetitive tasks, such as task assignments and status updates, freeing up teams to focus on more critical work and boosting overall productivity.
Source: ppm.express
12 Best ClickUp Alternatives for Innovative Management in 2023
Benefits of Wrike compared to ClickUp: Even though Wrike is similar to ClickUp, it lets the whole team collaborate on the go. The mobile app lets leaders manage workloads and create tasks smoothly.
Source: ayanza.com
16 Best Event Management Software for 2022 [Complete Guide]
Wrike is a cloud-based project management tool that helps teams organize, prioritize and manage their work more efficiently. It’s great for organizing projects of all sizes, from small businesses and freelancers to large enterprises.

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than Wrike. 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.

Wrike mentions (1)

  • Identify which frontend NPM libraries are used on any website
    I just realized I can use this to see who is ignoring GDPR as well. Scanning a few sites I know I see a lot of tracking scripts load up right away. When I scan something like wrike.com I see good implementation of GDPR because the only thing loading is GTM / GA and trust arc as far as third-party libraries. Source: over 2 years 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
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What are some alternatives?

When comparing Wrike and Amazon EMR, you can also consider the following products

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Basecamp - A simple and elegant project management system.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost