We changed our name from IT Central Station: Here's why

Dataiku Data Science Studio vs Dremio comparison

Cancel
You must select at least 2 products to compare!
Dremio Logo
2,793 views|2,611 comparisons
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
564,643 professionals have used our research since 2012.
Ranking
8th
Views
16,271
Comparisons
10,231
Reviews
1
Average Words per Review
676
Rating
9.0
20th
Views
2,793
Comparisons
2,611
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Dataiku DSS
Learn More
Dremio
Video Not Available
Overview

Dataiku Data Science Studio is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

Dataiku Data Science Studio is also known as Dataiku DSS. This solution enables you to discover, share, and reuse code and applications so that you can deliver high-quality projects easily and streamline your path to production. As an enterprise leader, you can leverage the power of AI to confidently make business decisions.

With Dataiku, an intuitive interface is guaranteed and allows users the ability to access and work with data using a point-and-click method. Dataiku analyzes the data to suggest key transformations. Beyond offering 109 data transformation capabilities, Dataiku also includes pipelines that can be generated in SQL which can thereafter be scheduled for automated recomputation.

What's more, Dataiku allows you to create more than 20 different kinds of charts and also gives you the ability to deploy them into dashboards or create custom web applications for the use of interactive and sophisticated visualization tools.

In addition, with Dataiku you have the option of using an in-depth statistical analysis, including but not limited to: curves fitting, univariate and bivariate analysis, principal component analysis, correlation analysis, and statistical tests.

Dataiku Data Science Studio Consists Of:

  • Data preparation
  • Visualization
  • Machine Learning
  • Data Ops
  • ML Ops
  • Analytic Apps

With Dataiku Data Science Studio You Can:

  • Integrate any data 10x faster
  • Build and automate sophisticated data pipelines
  • Build and share insights in minutes
  • Perform in-depth statistical analysis
  • Create thousands of models to find the best ones
  • Explore and explain models

Dataiku Data Science Studio Benefits and Features:

  • Use your favorite languages and tools: You can create code working with tools you are already familiar with in the language you prefer (Python, R, SQL, etc.)
  • Easily reuse and share code: This feature helps you reduce inefficiencies and inconsistent data. Dataiku includes project libraries, allowing teams to centralize and share code. Although it comes pre-loaded with starter code for tasks, it also provides you with the ability to add your own code snippets.
  • Simplify complexities related to connecting to data and configuring computer resources: With this feature, data scientists can execute code in both a containerized and distributed way, while also selecting the runtime environment they want. Dataiku works to maintain those containers as well as shut them down when the job is completed.

Features Users Find Most Valuable:

  • API
  • Reporting/Analytics
  • Third-Party Integrations
  • Data Import/Export
  • Natural Language Processing
  • Search/Filter
  • Monitoring
  • Workflow Management

Reviews from Real Users

IT Central Station users note that Dataiku Data Science Studio has a fantastic interface and is also flexible, intuitive, and stable. One user said "I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person." Another user mentioned “The best feature is the user interface. It allows us to see the visual flows.”

Dremio is the Data-as-a-Service Platform. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient.

Offer
Learn more about Dataiku Data Science Studio
Learn more about Dremio
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
UBS, TransUnion, Quantium, Daimler, OVH
Top Industries
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider15%
Financial Services Firm12%
Energy/Utilities Company6%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider15%
Financial Services Firm14%
Insurance Company7%
Company Size
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise14%
Large Enterprise67%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
564,643 professionals have used our research since 2012.

Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 1 review while Dremio is ranked 20th in Data Science Platforms. Dataiku Data Science Studio is rated 9.0, while Dremio is rated 0.0. The top reviewer of Dataiku Data Science Studio writes "Flexible and intuitive with good stability". On the other hand, Dataiku Data Science Studio is most compared with Alteryx, Databricks, Microsoft Azure Machine Learning Studio, KNIME and Amazon SageMaker, whereas Dremio is most compared with Databricks, Alteryx, AtScale Adaptive Analytics (A3), Microsoft BI and ThoughtSpot.

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.