Dataiku vs Saturn Cloud comparison

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Dataiku Logo
9,109 views|7,135 comparisons
100% willing to recommend
Saturn Cloud Logo
102 views|35 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dataiku and Saturn Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Data Science Studio's data science model is very useful.""I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.""Cloud-based process run helps in not keeping the systems on while processes are running.""The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction.""Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors.""The most valuable feature is the set of visual data preparation tools.""The solution is quite stable."

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"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device.""The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs.""There is plenty of computational resources (both GPU, CPU and disk space).""It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required.""It offered an excellent development environment while not touching our production cloud resources."

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Cons
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete.""The ability to have charts right from the explorer would be an improvement.""The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective.""Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.""In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin.""Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days).""I think it would help if Data Science Studio added some more features and improved the data model.""There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders."

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"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning.""Public Clouds integration and sandbox environments would be a true game changer.""Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience.""We'd like to have the capability for installing more libraries.""It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."

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Pricing and Cost Advice
  • "The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
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    Questions from the Community
    Top Answer:Databricks and Dataiku are excellent Data Science platforms but have different strengths and weaknesses. Below is a comparison of the two products based on several parameters Cost It is… more »
    Top Answer:Hi, I am the founder of Actable AI so my answer may be biased. In terms of performance, it's Actable AI. Why? Because we leverage the best and latest open source technologies out there (AutoGluon… more »
    Top Answer:Dataiku is my choice as it's not bulky and the learning path for people like me (noobs in ML and data science) is not steep at all, so after a couple of pieces of training I feel very confident. Also… more »
    Top Answer:There is plenty of computational resources (both GPU, CPU and disk space).
    Top Answer:I would like more documentation about edge and advanced use cases. The official Docker images are only based on Debian: I would like to find official Docker images also based on other systems like… more »
    Top Answer:Saturn Cloud provides a hosted environment where it's possible to work with various software programming tools (e.g., Jupyter Python notebooks, Julia, R and more). The system is containerized and… more »
    Ranking
    11th
    Views
    9,109
    Comparisons
    7,135
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    8th
    Views
    102
    Comparisons
    35
    Reviews
    5
    Average Words per Review
    642
    Rating
    10.0
    Comparisons
    Also Known As
    Dataiku DSS
    Learn More
    Saturn Cloud
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    Overview

    Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

    Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.

    Saturn Cloud is a good choice for data scientists and machine learning engineers who need a scalable, flexible, and easy-to-use environment.

    Saturn Cloud also makes it easy to collaborate with other data scientists and machine learning engineers. You can share projects, notebooks, and data with others, and you can track changes to your work.

    Sample Customers
    BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
    Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Educational Organization14%
    Manufacturing Company8%
    Computer Software Company8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business57%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise19%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    Dataiku is ranked 11th in Data Science Platforms while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. Dataiku is rated 8.2, while Saturn Cloud is rated 10.0. The top reviewer of Dataiku writes "The model is very useful". On the other hand, the top reviewer of Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". Dataiku is most compared with Databricks, KNIME, Alteryx, RapidMiner and Microsoft Azure Machine Learning Studio, whereas Saturn Cloud is most compared with Amazon SageMaker and Remote Desktop with Multi-user support by Aurora.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.