Software Alternatives, Accelerators & Startups

Iterative.ai VS Wrike

Compare Iterative.ai VS Wrike and see what are their differences

Iterative.ai logo Iterative.ai

Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

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.
  • Iterative.ai Landing page
    Landing page //
    2023-08-18
  • Wrike Landing page
    Landing page //
    2023-07-13

Iterative.ai videos

Reimagining DevOps for ML by Elle O'Brien, Iterative.ai

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

Category Popularity

0-100% (relative to Iterative.ai and Wrike)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Task Management
0 0%
100% 100

User comments

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Reviews

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

Iterative.ai Reviews

  1. Rare

    The people at iterative.ai are special.

    Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.

    Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.

    The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.

    Recommend whole-heatedly.

    👍 Pros:    Constantly improving|Quality|Community

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.

Social recommendations and mentions

Based on our record, Iterative.ai should be more popular than Wrike. It has been mentiond 6 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.

Iterative.ai mentions (6)

  • Work with Google Drive files locally
    PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: dev.to / about 1 year ago
  • Any MLOps platform you use?
    These three are made by Iterative.ai, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. https://iterative.ai/. Source: about 1 year ago
  • How does your data science team collaborate?
    For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC,et.al.) Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists (https://learn.iterative.ai). We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: almost 2 years ago
  • Advice about Infra and IaC
    What do you think of iterative.ai tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago
  • TPI - Terraform provider for ML/AI & self-recovering spot-instances
    Hey all, we (at iterative.ai) are launching TPI - Terraform Provider Iterative https://github.com/iterative/terraform-provider-iterative. Source: about 2 years ago
View more

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

What are some alternatives?

When comparing Iterative.ai and Wrike, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

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.

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Basecamp - A simple and elegant project management system.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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.