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MLDB VS RapidMiner

Compare MLDB VS RapidMiner and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

MLDB logo MLDB

MLDB is an open-source database designed for machine learning that can be install in any device and send commands over a RESTful API to store data.

RapidMiner logo RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
  • MLDB Landing page
    Landing page //
    2022-07-11
  • RapidMiner Landing page
    Landing page //
    2022-06-12

MLDB videos

+ Add

Full Evasion/MLDB Team in RTA! World Arena Challenge! - Epic Seven

More videos:

  • Review - Datacratic's Machine Learning Database (MLDB) #MP53

RapidMiner videos

+ Add

RapidMiner Review - Predictive analytics software review

More videos:

  • Review - Analyzing Customer Reviews with MonkeyLearn and RapidMiner
  • Review - SENTIMENT ANALYSIS OF MOVIE REVIEW USING RAPIDMINER FROM EXCEL FILE

Category Popularity

0-100% (relative to MLDB and RapidMiner)

MLDB

RapidMiner

Python Tools
7 7%
Python Tools
93% 93
Data Science And Machine Learning
4 4%
Data Science And Machine Learning
96% 96
Data Science Tools
6 6%
Data Science Tools
94% 94
Software Libraries
100 100%
Software Libraries
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MLDB and RapidMiner

MLDB Reviews

We have no reviews of MLDB yet.
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RapidMiner Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production process, from data exploration and data preparation to model building, model deployment, and model operations. RapidMiner provides the depth that data scientists...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, RapidMiner seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MLDB mentions (0)

We have not tracked any mentions of MLDB yet. Tracking of MLDB recommendations started around Mar 2021.

RapidMiner mentions (3)

  • I need help lol
    RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: about 1 year ago
  • Intro to Py-Arrow
    I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start exploring how you can build your own analytics applications from this framework. InfluxDB’s new storage engine emphasizes its commitment to the greater ecosystem. For instance, allowing... - Source: dev.to / over 1 year ago
  • Data Science toolset summary from 2021
    Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing MLDB and RapidMiner, 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.

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

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Turi GraphLab Create - GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

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

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