Life & fun · alternatives · 2026

24 alternatives to Saturn Cloud

Your data science cloud environment

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Saturn Cloud launched in 2022; newer entries below may have overtaken it.

1. 1
   Saturn by Vidhra▲6

   Saturn is an AI agent for cloud infrastructure.

   2025 · vidhra.com · its alternatives →

2. 2
   Prisma Cloud▲269

   GraphQL database platform

   2018 · its alternatives →

3. 3
   Interzoid▲75

   Analyze, match, cleanse & enrich cloud data right now

   2023 · its alternatives →

4. 4
   Paperspace for Machine Learning▲152

   A Linux desktop in the cloud built for Machine Learning

   2016 · its alternatives →

5. 5
   Tensorflow Research Cloud▲288

   Accelerating open machine learning research with Cloud TPUs

   2017 · its alternatives →

6. 6
   DoubleCloud▲168

   Get the most out of your data in the cloud

   2022 · its alternatives →

7. 7
   Starburst Galaxy▲80

   Explore and analyze the data in and around your data lake

   2023 · its alternatives →

8. 8
   Cloudgov.ai▲107

   Your Gen AI agent for multicloud cost management

   2024 · cloudgov.ai · its alternatives →

9. 9
   NetBook▲73

   Manage machine learning compute from one platform

   2022 · its alternatives →

10. 10
    Ploomber Cloud▲106

    Deploy AI/ML/data apps for free.

    2023 · its alternatives →

11. 11PI
    Prophecy.io – Cloud Native Data Engineering▲64

    2019 · medium.com · its alternatives →

12. 12
    Datazar 2.0▲118

    Advanced, cloud-based research collaboration

    2017 · its alternatives →

13. 13
    Rocketgraph▲113

    Marketplace to buy reports of cloud services you use.

    2015 · its alternatives →

14. 14CC
    Chroma Cloud – serverless search database for AI▲93

    Hey HN - I’m Jeff, co-founder of Chroma. In December of 2022, I was scrolling Twitter in the wee-hours of the morning holding my then-newborn daughter. ChatGPT had launched, and we were all figuring out what this technology was and how to make it useful. Developers were using retrieval to bring their data to the models - and so I DM’d every person who had tweeted about “embeddings” in the entire month of December. (it was only 120 people!) I saw then how AI was going to need to search to all the world’s information to build useful and reliable applications. Anton Troynikov and I started…

    2025 · trychroma.com · its alternatives →

15. 15
    Aqueduct▲87

    Taking data science to production

    2022 · its alternatives →

16. 16
    Artemis▲83

    The modern infrastructure for data science teams

    2022 · its alternatives →

17. 17
    Azure - Machine Learning▲81

    Powerful cloud-based predictive analytics, ML as a Service

    2014 · its alternatives →

18. 18
    FloydHub Workspaces▲80

    The easiest cloud IDE for deep learning

    2018 · its alternatives →

19. 19IB
    I built a vector database API on Cloudflare▲101

    2024 · github.com · its alternatives →

20. 20
    Google Cloud TPUs▲114

    Build and train machine learning models with Google

    2017 · its alternatives →

21. 21SA
    Sense - A New Cloud Platform for Data Science and Big Data Analytics▲64

    2014 · senseplatform.com · its alternatives →

22. 22
    Clustered Cloud▲70

    End-to-end DevOps platform with built-in container hosting.

    2020 · its alternatives →

23. 23
    OmegaCloud.ai▲87

    Deploy AI apps instantly with a single shot

    2025 · omegacloud.ai · its alternatives →

24. 24
    Starclouds▲12

    Data Science Community For Everyone Free For Every

    2024 · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →