Software Alternatives, Accelerators & Startups

datarobot VS PostgresML

Compare datarobot VS PostgresML and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

datarobot logo datarobot

Become an AI-Driven Enterprise with Automated Machine Learning

PostgresML logo PostgresML

You know Postgres.
  • datarobot Landing page
    Landing page //
    2023-08-01
  • PostgresML Landing page
    Landing page //
    2023-11-10

datarobot

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

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.

PostgresML features and specs

No features have been listed yet.

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

PostgresML videos

No PostgresML videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to datarobot and PostgresML)
Data Science And Machine Learning
AI
76 76%
24% 24
Business & Commerce
100 100%
0% 0
Databases
0 0%
100% 100

User comments

Share your experience with using datarobot and PostgresML. 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 datarobot and PostgresML

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...

PostgresML Reviews

We have no reviews of PostgresML yet.
Be the first one to post

Social recommendations and mentions

Based on our record, PostgresML should be more popular than datarobot. It has been mentiond 7 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.

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 3 years ago

PostgresML mentions (7)

  • AI-pipe: Pipeline for generating/storing embeddings from AI models to DB with data scraped from sites using custom scripts
    The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
  • Better RAG Results with Reciprocal Rank Fusion and Hybrid Search
    That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / about 2 years ago
  • How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
    Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
  • A Year of Self-Hosting: 6 Open-Source Projects That Surprised Me in 2023
    PostgresML | You know Postgres. Now you know machine learning โ€“ PostgresML. - Source: dev.to / over 2 years ago
  • OpenAI Switch Kit: Swap OpenAI with any open-source model
    You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: over 2 years ago
View more

What are some alternatives?

When comparing datarobot and PostgresML, you can also consider the following products

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

Talk To Your Data App - Tak to your data in natural language, no technical skills required. PostgreSQL, MySQL, HubSpot, Mailchimp & many more SaaS platforms. Get instant answers, visualizations & insights.

Statista - The Statistics Portal for Market Data, Market Research and Market Studies

Pinecone - Search through billions of items for similar matches to any object, in milliseconds. Itโ€™s the next generation of search, an API call away.

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

ChatWithCloud AI - Chat with your AWS Cloud from Terminal. Talk to your Cloud, literally.