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Time Series Data Analytics with QuestDB and Cube.js

Blog post from QuestDB

Post Details
Company
Date Published
Author
Andrey Pechkurov
Word Count
1,349
Company Posts That Month
2
Language
English
Hacker News Points
-
Summary

QuestDB is an open-source time-series database designed for high-performance workloads, offering ultra-low latency, high ingestion throughput, and a flexible storage engine with native support for Parquet and SQL. It integrates with popular tools via the PostgreSQL wire protocol, making it suitable for real-time analytics, monitoring, and telemetry. Cube, a headless business intelligence platform, organizes data into a structured model, enabling consistent data metrics across applications through APIs like REST, GraphQL, and SQL. When used together, QuestDB and Cube create a robust data pipeline that efficiently handles time-series data, as demonstrated with a crypto price analysis platform. This collaboration allows for fast, consistent, and reliable data processing, supporting use cases across embedded analytics, business intelligence, and machine learning. The synergy between QuestDB's rapid data handling and Cube's modeling capabilities offers a powerful solution for managing real-time data in various applications.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 2 1,174 339 115 -7%
Data Pipeline 1 336 83 34 +39%