Apache Zeppelin VS Saturn Cloud

Apache Zeppelin Reviews

Saturn Cloud Reviews

1. Filip    

   2 months ago
   One of the best cloud based solutions for data science projects

   Smooth and bug free experience. There are ready data science images with pre loaded packages for most common scenarios, making you focus on the project/problem and leave the infrastructure part to Saturn Cloud.

   👍 Pros:    Easy jupyter setup with boot scripts|Dask support|Easy to spin cluster for model training or grid search|Great and minimalistic ui

   👎 Cons:    Access to cheaper spot instances needed
2. Anh Q Nguyen    

   Student at University | 6 months ago
   Amazing computes

   True story, way better than just sweating Colab. The best and cheapest compute services there is.

   👍 Pros:    Cheap price|Easy to use|Can use terminal
3. abhijit    

   student at - | 7 months ago
   An amazing cloud computing platform

   I have started using this to run the computations which generally require like 64+GB of RAM, and the procedure to setup the enviroment is also nice. Got all the R packages running smoothly.

   🏁 Competitors: Google Cloud Platform

Apache Zeppelin mentions (7)

• Serverless Apache Zeppelin on AWS

  Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals. - Source: dev.to / 3 months ago

• Visualization using Pyspark Dataframe

  Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df). Source: almost 2 years ago

• Fast CSV Processing with SIMD

  I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives. https://zeppelin.apache.org/. - Source: Hacker News / over 2 years ago

• What libraries do you use for machine learning and data visualizing in scala?

  Another more widely used notebooks for scala and spark: Https://zeppelin.apache.org/. Source: over 2 years ago

• Dataflow, a self-hosted Observable Notebook Editor

  Apache Zeppelin is one open source option - https://zeppelin.apache.org. - Source: Hacker News / almost 3 years ago

Saturn Cloud mentions (6)

• Where to run computationally intensive analyses?

  Not 100% sure of your intention, but if you work with python, and you're familiar with (or can spend the time learning) dask, and willing to pay, you can consider coiled.io or saturncloud.io that offer managed dask that you can scale and use GPUs etc (again, not sure if applicable to your use case). Source: about 1 year ago

• free-for.dev

  SaturnCloud - Data science cloud environment, that allows to run Jupyter notebooks and Dask clusters. 30 hours free computation and 3 hours of Dask per month. - Source: dev.to / over 1 year ago

• [P] Serverless Jupyter Labs with GPUs, CPUs and high-speed storage

  I think your site looks good and I have used the type of service you offer, but there are 2 potential problems. As SheepherderPatient51 said,Google already offers all of this for free (and so does https://kaggle.com and https://www.paperspace.com ).  There are also other sites just like yours such as https://deepnote.com,https://saturncloud.io, and https://lambdalabs.com . Source: over 1 year ago

• Show HN: Free Hosted JupyerLab with GPU

  * How does it differ from other GPU cloud providers that offer ready to use Jupyter notebooks? (E.g. https://support.genesiscloud.com/support/solutions/articles/47001170102-running-jupyter-notebook-or-jupyterlab-on-your-instance or https://saturncloud.io/). - Source: Hacker News / about 2 years ago

• Partnership with Helium?

  At the moment I am going to go to https://saturncloud.io/ or https://www.cloudeo.group/. Source: over 2 years ago