Software Alternatives, Accelerators & Startups

NLP-API VS datarobot

Compare NLP-API VS datarobot and see what are their differences

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NLP-API logo NLP-API

Natural Language Processing tools REST API

datarobot logo datarobot

Become an AI-Driven Enterprise with Automated Machine Learning
  • NLP-API Landing page
    Landing page //
    2023-03-15
  • datarobot Landing page
    Landing page //
    2023-08-01

datarobot

Pricing URL
-
$ Details
Release Date
2012 January
Startup details
Country
United States
City
Boston
Founder(s)
Jeremy Achin
Employees
1,000 - 1,999

NLP-API features and specs

No features have been listed yet.

datarobot features and specs

  • Ease of Use
    DataRobot provides a user-friendly interface that makes it accessible for users with varying levels of expertise, from data scientists to business analysts.
  • Automated Machine Learning (AutoML)
    The platform automates the process of building, deploying, and maintaining machine learning models, significantly reducing the time and effort required.
  • Scalability
    DataRobot supports scalable machine learning workflows, allowing businesses to handle large datasets and complex computations efficiently.
  • Integration
    DataRobot offers seamless integration with popular data platforms and tools like AWS, Azure, BigQuery, and Snowflake, facilitating smooth data pipeline management.
  • Model Interpretability
    The platform provides various tools and visualizations for understanding and interpreting model predictions, which is crucial for decision-making and regulatory compliance.
  • Collaboration Features
    DataRobot includes collaboration tools that allow teams to work together on projects, share insights, and ensure consistency across different stages of the machine learning lifecycle.

Possible disadvantages of datarobot

  • Cost
    DataRobot can be expensive, especially for small businesses or startups with limited budgets, potentially making it inaccessible for some companies.
  • Complexity for Advanced Users
    While the platform is user-friendly, advanced users might find it restrictive because they may prefer more control and customization over their machine learning workflows.
  • Steep Learning Curve for Non-Data Scientists
    Despite being user-friendly, non-data scientists may still face a learning curve to fully leverage the platform's capabilities and understand the underlying machine learning principles.
  • Dependency on Cloud Services
    DataRobot's heavy reliance on cloud services can be a limiting factor for organizations with strict data governance policies that require on-premise solutions.
  • Limited Algorithm Choices
    While DataRobot supports a wide range of algorithms, it might not include certain niche models or the latest advancements in machine learning algorithms, which could be a limitation for specific use cases.
  • Data Privacy Concerns
    Handling sensitive data on a third-party platform can raise privacy concerns for some organizations, particularly those in highly regulated industries.

NLP-API videos

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datarobot videos

Build and Deploy a Managed Machine Learning Project in 10 minutes - Scott Lutz (DataRobot)

More videos:

  • Review - How DataRobot Works
  • Review - DataRobot Predictions Using Alteryx

Category Popularity

0-100% (relative to NLP-API and datarobot)
AI
27 27%
73% 73
Data Science And Machine Learning
Developer Tools
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NLP-API and datarobot

NLP-API Reviews

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datarobot Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service. DataRobot includes several independent but fully integrated tools (Paxata Data Preparation, Automated Machine...

Social recommendations and mentions

Based on our record, datarobot seems to be more popular. It has been mentiond 1 time 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.

NLP-API mentions (0)

We have not tracked any mentions of NLP-API yet. Tracking of NLP-API recommendations started around Mar 2023.

datarobot mentions (1)

  • Predicting the End of Season Bundesliga Table
    To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group.  We used DataRobotโ€™s models to predict which team would win each match to simulate the final nine matchdays 10,000 times.  For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: over 2 years ago

What are some alternatives?

When comparing NLP-API and datarobot, you can also consider the following products

MindsDB - We are an open-source project that enables you to do Machine Learning using SQL directly from the Database.

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

Kern AI refinery - Algorithms arenโ€™t the bottlenecks. Itโ€™s data. Develop data to get better quality in shorter time with refinery. Build your AI training data in hours, not months.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Pac Maze - Pac Maze is an Arcade, Puzzle, and Single-player video game created and published by Perun Labs.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.