Amazon Web Services (AWS) and InfluxData also strengthened their strategic alliance by releasing InfluxDB 3 Core and InfluxDB 3 Enterprise on Amazon Timestream for InfluxDB. For the first time, InfluxDB 3 is being released as a fully managed offering on AWS, providing developers with high-performance, open-source time series database, fine-tuned for real-time applications. InfluxDB 3 is designed for high-volume streaming and sensor data. This helps intelligent, self-service systems process data in real-time. Developers can now handle millions of high-resolution data streams easily. They can merge these streams with AWS services like Lambda, SageMaker, and Kinesis. This speeds up AI/ML workflows and helps with real-time decision-making.
Also Read: Cognizant Launches Enterprise Vibe Coding Blueprint for AI Transformation
InfluxDB 3 Core and Enterprise both have a Processing Engine, a Python virtual machine that can be used by developers to run custom logic against data in real time as it comes in. The capability is employed to transform, enrich, monitor, and alert on data without needing to pass through external services or pipelines. InfluxDB 3 Enterprise gives enterprise capabilities such as multi-region durability, read replicas, automatic failover, and enhanced security in a diskless, cloud-native architecture that simplifies operations and delivers low-latency performance. With increasingly more systems relying on real-time data, InfluxDB 3 on AWS enables organizations to convert high-volume streams of data to timely insights.