Triple Whale VS PostgresML
Compare Triple Whale VS PostgresML and see what are their differences
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next.
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Triple Whale
BeProfit
Polar Analytics
Rockerbox
Glew.io
Elevar
Madgicx
Lifesight.io
PostgresML
Talk To Your Data App
Pinecone
ChatWithCloud AI
TalktoData AI
Korvus
SuperDuperDB
Hugging Face
Triple Whale’s mission is to empower businesses with the tools they need to succeed in the world of ecommerce.
We help 10,000+ brands including True Classic, Milk Bar, and Obvi aggregate and analyze the right data to make the right decisions at the right time.
Our flexible, secure platform is your one-stop shop for marketing attribution, merchandising, forecasting, and more. Deep integrations within the Shopify ecosystem ensure maximum visibility and insight, building alignment on success metrics and growth targets across your entire organization.
Since starting in 2021, Triple Whale has been completely focused on democratizing data in the Shopify ecosystem; earlier this year, we raised $25M with strategic participation from Shopify to continue our mission.
As we continue to grow and evolve, our mission remains the same: to empower businesses with the tools they need to succeed in the world of ecommerce.
Triple Whale PostgresMLNo features have been listed yet.
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Based on our record, PostgresML seems to be more popular. 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.
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
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 / over 2 years ago
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
PostgresML | You know Postgres. Now you know machine learning – PostgresML. - Source: dev.to / over 2 years ago
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: almost 3 years ago
BeProfit - Track and understand your Shopify data. Optimize profits!
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.
Polar Analytics - Your #1 Analytics for Ecommerce — Centralize Ecommerce data and create custom reports + metrics without coding. Try it free.
Pinecone - Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Rockerbox - Rockerbox is a real-time user intent that developed the technology to determine user's intent based on recent browsing habits.
ChatWithCloud AI - Chat with your AWS Cloud from Terminal. Talk to your Cloud, literally.