Software Alternatives, Accelerators & Startups

Dataiku VS Ignithos Customer Data Platform Accelerator

Compare Dataiku VS Ignithos Customer Data Platform Accelerator and see what are their differences

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Get a jump start on your customer data platform. Ignitho’s CDP Accelerator provides all the tools and resources you need to quickly and easily build a unified, secure, and actionable customer database in as little as 2 weeks.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Ignithos Customer Data Platform Accelerator Landing page
    Landing page //
    2023-07-04

Ignitho’s CDP accelerator allows implementations in as little as 2 weeks. By keeping the AI use cases front and center, the CDP accelerator provides an integrated solution framework. The CDP accelerator is industry specific and comes bundled with predefined AI models to cater to the most important use cases. This ensures that your implementations are rapid and meet a very tangible business need.

If additional AI models are needed, they can be added quickly making the accelerator very scalable.

Your CDP implementation is not just an aggregated repository of customer data with visualizations and basic segmentations.

  1. Pre-built AI models
  2. API based Real-Time Integration of AI Insights
  3. Advanced What-If Analysis
  4. No Data Duplication
  5. Rapid Data Integration with Predefined Schemas

View a demo of our CDP Accelerator that provides an integrated solution framework. https://dashboard.mailerlite.com/forms/425317/88596354137327168/share

Dataiku

Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

Dataiku features and specs

No features have been listed yet.

Ignithos Customer Data Platform Accelerator features and specs

  • Pre-built AI models: Yes
  • API based Real-Time Integration of AI Insights: Yes
  • Advanced What-If Analysis: Yes
  • No Data Duplication: Yes
  • Rapid Data Integration with Predefined Schemas: Yes

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Ignithos Customer Data Platform Accelerator videos

No Ignithos Customer Data Platform Accelerator videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Dataiku and Ignithos Customer Data Platform Accelerator)
Data Science And Machine Learning
Data Science Tools
100 100%
0% 0
Application And Data
0 0%
100% 100
Python Tools
100 100%
0% 0

Questions and Answers

As answered by people managing Dataiku and Ignithos Customer Data Platform Accelerator.

Which are the primary technologies used for building your product?

Ignithos Customer Data Platform Accelerator's answer:

Microsoft, DOMO, AWS, Snowflake, Databricks

How would you describe your primary audience?

Ignithos Customer Data Platform Accelerator's answer:

Our Primary audience are the enterprises who need customer data analytics in Retail, Media, healthcare, fintech industry.

Why should a person choose your product over its competitors?

Ignithos Customer Data Platform Accelerator's answer:

Ignitho’s CDP accelerator allows implementations in as little as 2 Weeks.

What makes your product unique?

Ignithos Customer Data Platform Accelerator's answer:

By keeping the AI use cases front and center, the Ignitho's CDP accelerator provides an integrated solution framework. As the power of AI becomes more accessible, digital first organizations must embrace the concept of the CDP to enhance the effectiveness of customer analytics. The following are some key takeaways: 1. Integration of AI insights into business applications using APIs must remain top of mind to maximize the business impact 2. A balanced coupling between the enterprise data lake and a CDP must be created. Data does not always have to be duplicated, and even if duplicated there are ways to provide the updates back to the source systems. 3. Choice of platform ranges from custom to a licensed product. A CDP accelerator can offer a good balance. Make a choice after considering your requirements and tech landscape.

User comments

Share your experience with using Dataiku and Ignithos Customer Data Platform Accelerator. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and Ignithos Customer Data Platform Accelerator

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Ignithos Customer Data Platform Accelerator Reviews

We have no reviews of Ignithos Customer Data Platform Accelerator yet.
Be the first one to post

What are some alternatives?

When comparing Dataiku and Ignithos Customer Data Platform Accelerator, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

NumPy - NumPy is the fundamental package for scientific computing with Python

OpenCV - OpenCV is the world's biggest computer vision library

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.