Intro to InfluxDB 3.0
When it comes to databases, performance is king. That’s why the team behind InfluxDB rebuilt its core database engine and optimized it to improve performance. Known as InfluxDB IOx, the new database engine can handle large datasets in real-time.
With InfluxDB IOx, you can ingest billions of datapoints every second and perform analysis on that data in real-time. This technical paper explores the technologies used to build InfluxDB IOx, and discusses how you can leverage the gains they provide to do more with your time series data.
Extend the value of your time series data with low latency queries, thanks to native SQL support, higher data compression and interoperability with Apache Parquet, and integrate with your favorite visualization and business intelligence tools using Flight SQL.
In this technical paper you’ll learn:
- What underlying technologies power InfluxDB IOx
- How these technologies improve the performance of InfluxDB
- How InfluxDB IOx removes cardinality limits to support large datasets and low latency querying
