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Dataiku

Dataiku

#39in Development & Training Tools
Discussions0
Followers27
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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 Development & Training Tools category of a tech stack.

Key Features

Spend more time on high-impact AI projectsThe power of AI + your business expertise = unlimited opportunityLeverage the power of AI in every business decision for transformative impact

Dataiku Pros & Cons

Pros of Dataiku

No pros listed yet.

Cons of Dataiku

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Dataiku Alternatives & Comparisons

What are some alternatives to Dataiku?

NumPy

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

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

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

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.

PySpark

PySpark

It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.

Anaconda

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.

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