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What is Dataiku?

It is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way.
Dataiku is a tool in the Data Science Tools category of a tech stack.

Who uses Dataiku?

Companies
8 companies reportedly use Dataiku in their tech stacks, including Engineering, OVRSEA, and Red Hat BIDS.

Developers
17 developers on StackShare have stated that they use Dataiku.

Jobs that mention Dataiku as a desired skillset

CBRE
Philippines National Capital Region Makati City
CBRE
Philippines National Capital Region Makati City
CBRE
Philippines National Capital Region Makati City
CBRE
Philippines National Capital Region Makati City
See all jobs

Dataiku's Features

  • Spend more time on high-impact AI projects
  • The power of AI + your business expertise = unlimited opportunity
  • Leverage the power of AI in every business decision for transformative impact

Dataiku Alternatives & Comparisons

What are some alternatives to Dataiku?
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Dataform
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
See all alternatives
Related Comparisons
No related comparisons found

Dataiku's Followers
19 developers follow Dataiku to keep up with related blogs and decisions.