A New Scale Tier for Time Series on Amazon Timestream for InfluxDB

By Pat Walsh Product Developer
Mar 16, 2026

When we first announced the availability of InfluxDB 3 Core and Enterprise on Amazon Timestream for InfluxDB last year, we set a new standard for managed time series on AWS. We gave developers a simple way to harness high performance at scale while removing the burden of infrastructure management.

But as our customers have taught us, “at scale” is a moving target. Across Industrial IoT, physical AI, and real-time observability, data is growing in both volume and resolution. When you move from minute-by-minute polling to sub-millisecond, high-fidelity telemetry, the pressure on the underlying database compounds. To stay ahead of that curve, developers need a platform that scales as fast as their workloads.

Today, we’re delivering that by expanding InfluxDB 3 on Amazon Timestream for InfluxDB to support expanding clusters up to 15 nodes. We’re also introducing a seamless migration path from InfluxDB 3 Core to InfluxDB 3 Enterprise, allowing teams to unlock this massive performance tier without friction, risk of a manual architectural overhaul, or any data loss.

Scaling for the mission-critical

At InfluxData, we’re seeing time series expand from infrastructure monitoring to the foundation for autonomous systems. In high-stakes environments like power grid management or autonomous vehicle navigation, increased latency is a significant operational risk rather than just a performance metric.

Previously, AWS Timestream’s support of InfluxDB 3 was focused on smaller, highly efficient configurations. By expanding to 15 nodes, we are providing major upgrades across three important areas:

• Query concurrency: More nodes mean more hands on deck to process complex, concurrent queries. Large teams can now run heavy analytical workloads without impacting real-time dashboards or critical alerts.
• Massive throughput: With a larger cluster, you can ingest millions of data points per second across hundreds of millions of unique series, maintaining real-time query performance.
• Workload isolation and optimization: These expanded clusters enable true functional isolation between ingestion, queries, and compaction. This allows granular performance tuning optimized for your most demanding workloads.

Architected for enterprise demand

This new 15-node option is available for InfluxDB 3 Enterprise and is designed for organizations that require high availability, enhanced security, and the power to maintain high ingestion and real-time query performance across high-resolution, high-velocity datasets. InfluxDB 3 Core will continue to operate in single-node deployments.

By leveraging AWS infrastructure, you can spin up these expanded clusters in minutes directly from the AWS Console. With our new seamless migration capabilities, you can transition your existing Core workloads to Enterprise clusters with a single click. This ensures that as your data grows (from a few local sensors to a global fleet of devices), your database never becomes the bottleneck, and your team never has to worry about the downtime typically associated with a migration. These larger clusters are available today in all AWS regions where Amazon Timestream for InfluxDB is available, ensuring you can deploy and optimize mission-critical time series infrastructure wherever your data lives.

The foundation for physical AI

Our partnership with AWS is about meeting developers where they build. By integrating with services like AWS Lambda, SageMaker, and Kinesis, we’ve simplified the path from high-volume streams into Physical AI. This is the frontier where intelligence moves from the digital realm into the physical world.

Time series is the heartbeat of this transition, fueling a two-part lifecycle:

• Training: Using massive volumes of historical data to establish baselines and “normal” patterns.
• Inference: Streaming real-time data against those models to trigger automated, deterministic actions.

What makes our partnership with AWS unique is that we support both sides of this loop. With up to 15 nodes at your disposal, InfluxDB 3 has the headroom to act as a distributed inference engine, running predictive maintenance and anomaly detection against your data. This eliminates the latency tax of moving massive datasets between layers, ensuring that whether you are managing a robotic fleet or a smart grid, your autonomous systems can perceive and react with real-time precision.

What’s next?

The future of time series is about speed, precision, and scale. With today’s announcement, we’re handing you the keys to all three. By removing the barriers between single-node efficiency and enterprise-grade performance, we’re making it easier than ever to evolve your architecture as fast as your data grows.

We’re excited to see what the community builds with this new level of power. If you’re ready to scale your real-time workloads, head over to the AWS Console and start building.