Real-time Data What it takes to build a real-time recommendation system Real-time recommendation systems power a vast number of modern customer experiences. Learn what it takes to build a real-time recommender in this comprehensive guide.
Real-time Data Real-time streaming data architectures that scale Data and engineering teams are turning to real-time data architectures to power revenue-generating data pipelines. This post provides a reference for building scalable streaming data architectures that can support multiple different use cases.
Real-time Data 16 questions you need to ask about your Real-Time Data Strategy Considering a real-time data initiative? Answer these 16 questions and follow these recommendations to nail your real-time data strategy.
Tinybird Examples How to build a real-time fraud detection system Digital fraud affects so many organizations. In this blog post, you'll learn the components of a real-time fraud detection system, and how to build one with Tinybird.
Real-time Data Real-time Databases: What developers need to know Explore the key factors in choosing a real-time database and compare MongoDB, PostgreSQL, Tinybird, ClickHouse, Snowflake, Pinot, and Druid to determine the best fit for your application's performance, scalability, and analytics needs.
Product Building real-time solutions with Snowflake at a fraction of the cost Snowflake is not optimized for real-time use cases. Integrate your Snowflake datasets with Tinybird to build low-latency, high-concurrency APIs over Snowflake data.
Product The power of real-time streaming analytics with Confluent and Tinybird Today, Tinybird is excited to announce the launch of our new Confluent Connector, offering Confluent users the ability to stream their data into Tinybird in real time. With today’s announcement, Confluent users have a new way to query their streaming data and build fast APIs, faster.
Real-time Data Real-Time Analytics: Examples, Use Cases, Tools & FAQs Real-time data analytics can be a powerful differentiator for businesses. But how should you approach it to maximize output and keep costs in check? Get answers to these questions - and many more - in this definitive guide.
Product Transforming real-time applications with Tinybird and Google BigQuery Today, Tinybird is excited to announce the launch of our new Google BigQuery Connector, offering Google BigQuery users an easy and reliable method to bring their data to Tinybird where they can query and shape it using SQL and publish it as low-latency APIs to be consumed by their applications.
Real-time Data What are Materialized Views and why do they matter for real-time? Use Materialized Views for speed, simplicity, and consistency in your data pipelines.
