Our 5 favourite open-source customer data platforms
Navigating the terrain of vector databases in 2023 reveals a diverse array of options each catering to different needs. The comparison table paints a clear picture, but here's a succinct summary to aid your decision:
- Open-Source and hosted cloud : If you lean towards open-source solutions, Weviate, Milvus, and Chroma emerge as top contenders. Pinec
Picking a vector database: a comparison and guide for 2023
Programmable platform for data in motion
An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.
An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.
The programmable data streaming platform
on the other hand, excels in creating a 360-degree view of the customer, enabling marketers to anticipate needs and craft campaigns that feel less like broadsides and more like conversations.
ModernMind Publications • Generative AI for Beginners Made Easy: Master Artificial Intelligence and Machine Learning Fundamentals, Learn Creative AI, and Enhance Your Skills With Interactive Real-World Exercises
My top issues with the foundations of the "modern data stack":
- Snowflake - you may only pay for what you use, but you pay through the nose for it. The cost is so high that in many cases it can exceed the cost of binders full of dbas.
- Fivetran - convenient, but they tried to triple my licensing cost last year, they have almost constant 15 minute o
r/dataengineering - Reddit
These days, the company is using big data technologies to accelerate the integration of petabytes of customer, product, sales, and campaign data in order to understand how to increase marketing returns and bring customers back into its stores.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Company B chose to be longer and more concrete—a good choice for this audience. They are specific about what was different and say so upfront: “Our modern data discovery platform takes a markedly different approach.” Then, how it “operates in-database” and what you can do better as a result: “data is…drillable and explorable.”