InfluxDB 3 Core and Enterprise Now Available on AWS: Empowering Real-Time Time Series Workloads
InfluxData, the creator of the leading time series database InfluxDB, has announced the availability of InfluxDB 3 Core and InfluxDB 3 Enterprise on Amazon Timestream for InfluxDB. This marks a significant milestone as InfluxDB 3 becomes accessible on Amazon Web Services (AWS) as a fully managed service. Developers can now leverage InfluxData’s next-generation time series database to handle high-volume, real-time workloads without the complexities of managing infrastructure.
The Growing Importance of Real-Time Systems
As industries increasingly adopt intelligent, autonomous systems, the demand for real-time data processing has surged. Modern applications require infrastructure capable of detecting and responding to events the moment they occur. Time series data plays a pivotal role in this shift, capturing not just what happened but precisely when and how it changed. This capability enables AI/ML models to learn faster, predict earlier, and act instantly.
InfluxDB 3 is purpose-built to meet these demands. It processes high-volume streaming and sensor data in real-time, empowering developers to build intelligent systems that operate seamlessly at scale. With its integration into Amazon Timestream for InfluxDB, developers can manage millions of streams of high-resolution data in real-time without compromising performance. Furthermore, seamless connectivity with AWS services like Lambda, SageMaker, and Kinesis accelerates AI/ML workflows and supports real-time decision-making.
“Real-time isn’t a feature. It’s the foundation of every intelligent, autonomous system,” said Evan Kaplan, CEO of InfluxData. “Time series powers AI, anomaly detection, and predictive analytics by continuously feeding the models that drive real-time decisions. With InfluxDB 3 on AWS, developers get the infrastructure to act instantly, turning high-volume data streams into insight and action without delay.”
The collaboration between InfluxData and AWS opens new possibilities for developers looking to build scalable, real-time AI/ML applications. Brad Bebee, Director of AWS Timestream, emphasized the significance of this integration: “Through our integration with InfluxData, customers can now run InfluxDB 3 on AWS, removing the burden of infrastructure management and freeing up time to create insights from their time series data streams.”
Real-World Impact: Scaling Applications with Confidence
For organizations like KreditBee, a fintech company, the need for a robust, scalable time series database was critical as they expanded their application and infrastructure. Karthikeyan Krishnaswamy, CTO of KreditBee, shared his experience: “As we scaled our application and infrastructure, we needed a fully managed, scalable time series database capable of handling near real-time analytics while supporting a wide array of metrics for detailed monitoring. Timestream for InfluxDB proved to be the ideal solution, delivering cost-effective, high-performance monitoring without concerns about cost per metric or data points.”
This sentiment underscores the value of InfluxDB 3 for businesses operating at scale. Whether it’s monitoring IoT devices, analyzing financial transactions, or optimizing industrial processes, InfluxDB 3 provides the tools necessary to process and analyze vast amounts of time series data efficiently.
Enterprise-Grade Architecture Meets Simplified Operations
InfluxDB 3 Enterprise on Amazon Timestream for InfluxDB offers developers a powerful engine for managing time series data at scale, while simplifying operations and reducing infrastructure overhead. Designed for production environments, it includes enterprise-grade features such as:
- Multi-region durability: Ensures data resilience across geographies.
- Read replicas and automatic failover: Enhance reliability and availability.
- Enhanced security: Protects sensitive data with advanced encryption and access controls.
Its diskless, cloud-native architecture simplifies operations, offering seamless scalability and low-latency performance. This makes it ideal for demanding time series workloads where speed and efficiency are paramount. For developers who prefer open-source solutions, InfluxDB 3 Core provides an easy entry point, allowing them to get started on AWS in minutes.
Built-in Processing Engine for Real-Time Insights
Both Core and Enterprise versions include a built-in Processing Engine, powered by a Python virtual machine (VM). This feature enables developers to run custom logic on incoming data, facilitating real-time transformation, enrichment, monitoring, and alerting—all within the database. By eliminating the need for external services or pipelines, the Processing Engine streamlines workflows and reduces latency. From forecasting trends to detecting anomalies and gaining failure insights, this capability allows developers to analyze and act on streaming data in real-time.
Performance, Flexibility, and Scale
Built using Rust and leveraging technologies like Apache Flight, DataFusion, Arrow, and Parquet, InfluxDB 3 Enterprise delivers significant improvements in performance, flexibility, and scale. Its architecture is optimized for analytical workloads, ensuring speed and efficiency even under heavy loads. Key features include:
- Real-time intelligence: Transform, enrich, and analyze time series data without requiring ETL processes.
- High ingestion rates: Capture millions of writes per second to support high-precision data streams.
- Sub-10ms query performance: Achieve ultra-fast lookups for quicker insights and decision-making.
- Unlimited cardinality: Scale effortlessly to handle massive time series workloads with consistent performance.
These advancements make InfluxDB 3 an ideal choice for organizations dealing with large-scale, high-velocity data streams.
Availability and Migration Path
InfluxDB 3 Core and Enterprise are now available on Amazon Timestream for InfluxDB across 14 AWS regions. Existing users of LiveAnalytics, AWS’ previous time series database, can migrate to InfluxDB 3 Enterprise starting today. Additionally, InfluxDB 3 has been designated as the default time series database in the AWS Console, making it easier than ever for developers to integrate it into their workflows.
To get started, visit the AWS Console or explore InfluxData’s blog post for more information. Whether you’re building real-time AI/ML applications, monitoring IoT devices, or optimizing operational efficiency, InfluxDB 3 provides the tools and performance needed to succeed in today’s data-driven world.
About InfluxData
InfluxData is the creator of InfluxDB, the leading time series database used by millions of developers building real-time systems. InfluxDB captures and analyzes massive streams of high-resolution data, giving AI models the context for predictive maintenance and anomaly detection so systems can detect, alert, and adapt as conditions change. Built for high performance at any scale and in any environment, InfluxDB delivers the speed and flexibility developers need to manage today’s most demanding workloads. InfluxData is a remote-first company with a globally distributed team. Learn more at www.influxdata.com.
