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PostgresML VS AI & Analytics Engine

Compare PostgresML VS AI & Analytics Engine and see what are their differences

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

PostgresML logo PostgresML

You know Postgres.

AI & Analytics Engine logo AI & Analytics Engine

Accessible AI for everyone. AI-powered machine learning platform to clean, transform and model your data, and deploy and manage ML projects, simply, quickly and cost-effectively.
  • PostgresML Landing page
    Landing page //
    2023-11-10
  • AI & Analytics Engine Landing page
    Landing page //
    2020-09-23

The PI.EXCHANGE AI & Analytics Engine (the Engine) is a Data Science and Machine Learning (ML) platform that empowers everyone, even novice users, to affordably build high-performance ML applications in minutes or hours, not weeks or months.

The easy-to-use connected toolchain provides everything you will need to go from raw data to predictions and insights within a single pipeline. Manual and repetitive machine learning tasks are automated, and the Engine's intelligent features help guide the user end-to-end. So, whether you are building a small pilot project with no dedicated data science resources, or are deploying large-scale enterprise ML systems, you can equip your existing team with the right tool to build meaningful solutions, fast. The Engine gives users the flexibility to customize their ML pipeline from scratch for classification, regression, time-series, or clustering problems or to select an ML solution template to develop their ML application. While both ML development options are guided and require no-coding experience, the latter requires only articulation of business requirements and problem context via a few key steps - everything else is taken care of.

Notable AI solutions include: Customer Churn Prediction Leveraging your manufacturing data to build predictive maintenance strategies Predict online fraudulent transactions and reduce false positives and; Optimize logistics decision-making

PostgresML features and specs

No features have been listed yet.

AI & Analytics Engine features and specs

  • Smart Data Preparation
    We smartly recommend actions to perform on your dataset to amplify hidden signals within your raw data
  • Model Recommender and Performance Prediction
    Save time and resources, get recommended the machine-learning algorithm best suited to your data with an automatic view of the models' performance prior to training.
  • Flexible Deployment
    Whether you need the flexibility and agility of a cloud solution, robust on-premise security, and controls or a hybrid solution that integrates with your existing ecosystem of technologies. We support all major cloud providers and can deploy flexibly to your needs.
  • Model Life-cycle Management
    The one-click deployment automatically turns on monitoring of your model. Data submittedto the model for prediction is automatically logged and checked continuously for drift.

PostgresML videos

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AI & Analytics Engine videos

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The AI & Analytics Engine

Category Popularity

0-100% (relative to PostgresML and AI & Analytics Engine)

PostgresML

AI & Analytics Engine

AI
28 28%
AI
72% 72
Databases
100 100%
Databases
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Developer Tools
100 100%
Developer Tools
0% 0

User comments

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Social recommendations and mentions

Based on our record, PostgresML should be more popular than AI & Analytics Engine. 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.

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
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AI & Analytics Engine mentions (1)

  • NEW RELEASE - ML-Solution Templates - Customer Churn Prediction Template
    DISCLAIMER: Hello everyone, my name is Fyona & I work in Marketing at PI.EXCHANGE. I wanted to share an EXCITING news regarding our upcoming release that I think can be helpful to many! The AI & Analytics Engine will be offering a Machine Learning (ML)  Solution Templates, starting with our Customer Churn Prediction Template. Source: over 3 years ago

What are some alternatives?

When comparing PostgresML and AI & Analytics Engine, you can also consider the following products

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.

Akkio - No-Code AI models right from your browser

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.

Aureo.io - Aureo.io Makes AI Simple, Fast & Easy to Integrate

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

B2Metric ML Studio - Automated Machine Learning Platform

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