Welcome to VerticaPy documentation¶
Date: Oct 31, 2024 Latest Version: 1.1.0
Useful links:
Source Repository | Issues & Ideas | Q&A Support |
verticapy is a Python library that provides an interface to interact with the
Vertica database using the Python programming language. Vertica is a high-performance analytical database designed for big data analytics. VerticaPy aims to simplify data analysis and machine learning tasks by providing a Pythonic way to work with data stored in Vertica.
Quick and easy guide to help you install Verticapy.
The user guide offers deep insights into VerticaPy’s core concepts with valuable context and explanations.
The API reference provides concise information about VerticaPy’s functions and methods with clear examples.
The Examples section showcases practical use cases of VerticaPy in real-world scenarios.
The Contribution Guidelines outline the process for actively participating in the development of VerticaPy.
The official VerticaPy website showcasing our success.
Customer Testimonials¶
“Using Vertica ML, we now get results in almost real-time without any wait. Our new approach [in-database machine learning using Vertica] allows for tens of millions of models being calculated over filtered aggregated data in seconds and re-written in the database for almost real-time availability. This has been a real game changer for us.”
Director Data Science [Matrix Solution (Pabis Retail)]
“Vertica is a data science ready database. You only have to know your business and let Vertica do the job. You don’t need to be or have a data scientist, just use the out-of-the-box ML algorithms, feed data and in a matter of seconds you’ll see insights, knowledge, predictions and more.”
Senior Business Analyst [Axtel]
“The ML capabilities of Vertica enable us to help advertisers navigate the omnichannel world, based on scalability, relevance, and efficiency. Vertica enables us to analyze very large sets of structured and unstructured data in real time, and includes ML capabilities that help us drive our offer to both media owners and their advertisers.”
Chief Strategy Officer [adform]
“Vertica’s new in-database machine learning capabilities are like gold! We are extremely excited to train our Machine Learning models on our data in Vertica and ship them with our platform to run on our customers’ clusters. This is something that is much harder with any other tool. It will improve our competitive positioning.”
Data Scientist [Fidelis Cybersecurity]
“Vertica is crucial for enabling us to be more agile with data. Our Vertica platform is instrumental in many areas of our business—creating predictive algorithms, serving up product recommendations, powering insight to our mobile apps, and generating daily reports and ad-hoc queries.”
WW Business Intelligence Leader [Guess]
“Vertica in Eon Mode and AI Capabilities Align Perfectly with our Vision. We are delighted with Vertica’s AI-driven computational capabilities and the flexibility it gives us to consolidate and visualize the data in user-friendly real-time dashboards that benefit our internal stakeholders and our customers.”
Software Development Director [Unowhy]