Software Alternatives & Reviews

Nuclio VS Dataphin

Compare Nuclio VS Dataphin and see what are their differences

Nuclio logo Nuclio

Nuclio is an open source serverless platform.

Dataphin logo Dataphin

Dataphin is a unified PaaS platform for intelligent data creation and management, provides data integration, warehouse modeling, identity and profile distilling, asset management, and data services.
  • Nuclio Landing page
    Landing page //
    2021-08-03
  • Dataphin Landing page
    Landing page //
    2023-09-16

Nuclio videos

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Dataphin videos

MWC 2018 | Dataphin

Category Popularity

0-100% (relative to Nuclio and Dataphin)
Cloud Computing
57 57%
43% 43
Cloud Hosting
58 58%
42% 42
Development
53 53%
47% 47
Developer Tools
61 61%
39% 39

User comments

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Social recommendations and mentions

Based on our record, Nuclio seems to be more popular. It has been mentiond 1 time 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.

Nuclio mentions (1)

Dataphin mentions (0)

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

What are some alternatives?

When comparing Nuclio and Dataphin, you can also consider the following products

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

AWS Lambda - Automatic, event-driven compute service

Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.

Google Cloud Run - Bringing serverless to containers

APeX - Get your own corner of the Web for less! Register a new .COM for just $9.99 for the first year and get everything you need to make your mark online — website builder, hosting, email, and more.

AWS Batch - AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS.