Software Alternatives & Reviews

Shipyard VS Metaflow

Compare Shipyard VS Metaflow and see what are their differences

Shipyard logo Shipyard

Data orchestration doesn't have to be complex. Launch, monitor, and share data pipelines in minutes, not weeks.

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.
  • Shipyard Landing page
    Landing page //
    2023-10-06

Shipyard is a data orchestration platform built for data engineers and less technical team members. It seamlessly connects different tools and simplifies workflows.

With Shipyard, there's no need to write complex code. It offers templates you can use to create your data pipelines with little to no code needed. Launch, monitor, and share data workflows in minutes, not weeks.

If the templates don't fit your needs, Shipyard lets you automate scripts in your preferred programming language. This means you can add any process you want to your workflows, even if it's from outside or inside your company.

Shipyard's library of low-code Blueprints are 100 percent open-source Python packages that you can dig into and even contribute to. If you ever want to tweak the functionality - go for it. The code works outside of Shipyard too, so you can test and port the functionality as needed.

If you choose to fully code in Shipyard, you can do that, too. And it works together with its low-code Blueprints effortlessly without any tradeoffs.

We believe that in an ideal situation, a workflow should be a mixture of open-source low-code solutions plus your own code whenever you like.

The team has worked with big brands and understands the challenges of handling lots of data. They included features that proactively spot problems and keep your data safe.

With Shipyard, you're in control. You don't need to rely on other teams or worry about the quality of your data infrastructure. Give it a try now, free, or request a demo.

  • Metaflow Landing page
    Landing page //
    2023-03-03

Shipyard

$ Details
freemium $50.0 / Monthly
Release Date
2019 June

Metaflow

Pricing URL
-
$ Details
Release Date
-

Shipyard videos

Shipyard Overview

Metaflow videos

useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial

More videos:

  • Review - Screencast: Metaflow Sandbox Example

Category Popularity

0-100% (relative to Shipyard and Metaflow)
Automation
68 68%
32% 32
Workflow Automation
37 37%
63% 63
Web Service Automation
100 100%
0% 0
DevOps Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Shipyard and Metaflow.

What makes your product unique?

Shipyard's answer

Shipyard deploys in days, not weeks or months.

Shipyard is built for people of all technical backgrounds thanks to no code, open source low code, and full code options. Someone less technical, like a data analyst can deploy and build workflows with Shipyard just as easily as a data engineer who may choose to partially if not fully code within Shipyard.

Support is immediate. Our team is always available, as opposed to open source tools that primarily relies on communities for answers. The delay from the latter can prove to be an issue for many organizations.

You can test and deploy from your local environment in Shipyard, unlike all other orchestrators.

YAML configuration that syncs with drag and drop.

150 and counting open source low code blueprints allowing you to get started faster and not have to start from scratch.

Shipyard provides the infrastructure which allows for faster scaling, more elasticity, and a reduction in costs.

How would you describe your primary audience?

Shipyard's answer

Today our primary audience is data engineers, analytics engineers, data analysts, BI analysts, and heads of data/CDOs. We're currently a best fit for organizations with 500 of fewer employees, but by the end of Q1 2024 our primary audience will shift to large mid-market/small enterprises. We're product led growth on one hand, we offer a forever free trial, but we compliment it with a sales team to work with customers, which are primarily large, which want to work with a salesperson and other data experts.

Why should a person choose your product over its competitors?

Shipyard's answer

Lack of complexity, ease of use, and speed.

While just as powerful as any of our competitors, Shipyard is significantly easier to deploy, use, and to onboard others to Shipyard regardless of their technical background.

Shipyard is also significantly less expensive. Open source is free in that you don't have to pay to access the tools. But you do need the manpower and budget to code and built upon the open source to get the orchestration solution that is specific to the needs of your organizations.

You have a partner in Shipyard, one who's always available whether it's technical in nature or you just need to bounce ideas off or get another perspective from another data expert. We're strong believers in giving back to our data community and supporting our customers and partners, and you can always count on us exactly when you need us.

We're extraordinarily nimble. Whether you need a new integration, blue print, or other addition to satisfy your needs, we have the team to meet your needs, fast.

Who are some of the biggest customers of your product?

Shipyard's answer

  • Apache Airflow
  • Prefect
  • Dagster
  • Mage

What's the story behind your product?

Shipyard's answer

Our founding story aligns with our product philosophy. Our story is very much our strategy.

Our co-founder, Blake Burch, was a full-time data practitioner.

He had a love-hate relationships with low-code tools.

On the one hand, they made his life so much easier. Blake could click a few buttons and get access to data that he needed in five minutes instead of spending a week of work fiddling with new API endpoints.

On the other hand, using any of these tools meant that Blake had a few inevitable tradeoffs: - He always seemed to run into situations where the tool didn't support something that he needed for his specific use case. As a result, Blake would be stuck writing his own scripts that had to live on a separate platform, disconnected from his other solutions. This meant that Blake was then responsible for managing solutions across multiple tools. - If the low-code tool offered the ability to run code, it was always limited in some way. For some tools, you could only use pre-installed packages. For others, you were required to format the data in a very specific format. Some even restricted to small runtimes, small data, and small memory. - While the low-code tools were easy to use, the more Blake relied on them, the more of a black box his business' solutions became. Nobody knew exactly how they worked under the hood which created an extreme level of lock-in.

Blake and his co-founder, Eric Elsken, designed Shipyard to address these issues. Shipyard believes that low-code and your code should be able to work together seamlessly without any tradeoffs. To maximize your impact, data practitioners deserve a platform that affords them the flexibility to solve problems how they need. They have options.

That's why with Shipyard: - You can run your own Python, Node, or Bash code directly in the platform without any changes. There are no limitations on the script functionality that can be executed. - You can run our low-code Library Blueprints in the platform by providing a few simple inputs. These Blueprints are 100 percent open-source Python packages that you can dig into and even help contribute to. If you ever need to tweak the functionality - go for it. The code works outside of Shipyard too, so you can test and port the functionality as needed. - You can turn your own scripts into low-code Blueprints that look and feel exactly like our Library Blueprints. This is perfect for proprietary business logic that needs to be reusable by anyone in the organization.

In the ideal situation, a workflow should be a mixture of low-code solutions plus your own code when absolutely necessary.

You have more flexibility with Shipyard than any data orchestration tool that's ever been built.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Shipyard and Metaflow

Shipyard Reviews

We have no reviews of Shipyard yet.
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Metaflow Reviews

Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Metaflow enables you to define your pipeline as a child class of FlowSpec that includes class methods with step decorators in Python code.
Source: medium.com

Social recommendations and mentions

Based on our record, Metaflow seems to be more popular. It has been mentiond 12 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.

Shipyard mentions (0)

We have not tracked any mentions of Shipyard yet. Tracking of Shipyard recommendations started around Mar 2021.

Metaflow mentions (12)

  • What are some open-source ML pipeline managers that are easy to use?
    I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: 12 months ago
  • Needs advice for choosing tools for my team. We use AWS.
    1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago
  • Selfhosted chatGPT with local contente
    Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago
  • [OC] Gender diversity in Tech companies
    They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago
  • Going to Production with Github Actions, Metaflow and AWS SageMaker
    Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Shipyard and Metaflow, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

Zenaton - Powerful & Easy Automation for Developers

Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.