Cloud-native, diskless architecture
InfluxDB 3 Enterprise uses a cloud-native, diskless architecture with stateless operations, which is intended to simplify deployment and reduce storage-management overhead.
InfluxDB 3 Enterprise is InfluxData’s self-managed time series database for production telemetry, monitoring, and analytics workloads. It supports deployment on on-premises, private cloud, or edge infrastructure with custom pricing and a 30-day free trial.
InfluxDB 3 Enterprise is InfluxData’s self-managed time series database for production environments that need high ingest rates, real-time querying, and the ability to scale across on-premises, private cloud, or edge deployments. The pricing page positions it as the high-performance option in the InfluxDB lineup, with custom pricing based on CPU configuration and a 30-day free trial.
The product page describes a cloud-native, diskless architecture built to simplify operations while supporting high availability, flexible scaling, and persistent object storage. It is designed for teams that need to collect, store, query, and act on continuous time series data without reorganizing the stack around specialized infrastructure.
InfluxDB 3 Enterprise uses a cloud-native, diskless architecture with stateless operations, which is intended to simplify deployment and reduce storage-management overhead.
The product page describes high availability through a shared object store, with instant failover and no data loss or downtime when a node fails.
Compute and storage are separated so teams can add query or ingest nodes without redesigning the system, which supports changing workloads.
It supports persistent object storage and claims unlimited data retention, making it suitable for long-running time series workloads that need to keep historical data.
The InfluxDB 3 Explorer UI lets users query, visualize, manage tokens, administer the database, and onboard new users from one interface.
The Processing Engine can run custom Python logic to detect anomalies and trigger events, turning the database into an active processing layer.
Collect and query continuous telemetry from systems that need low-latency ingestion and near-real-time analysis, including environments where data must be retained for later review.
Run time series workloads close to the source in on-premises, private cloud, or edge environments when data locality or deployment control matters.
Scale production time series systems with high availability and separated ingest/query capacity so traffic spikes do not require a redesign of the database layer.
Use the Explorer UI and SQL-style querying to inspect data, build visualizations, and manage database tasks without requiring a separate analytics stack for every workflow.
Apply custom Python logic in the Processing Engine to detect anomalies and trigger downstream actions directly from the database.
InfluxDB 3 Enterprise is a self-managed deployment for on-prem, private cloud, or edge environments. The pricing page says it is intended for organizations that want to run InfluxDB on their own infrastructure, and the product page describes both single-node and multi-node setups.
The pricing page presents InfluxDB 3 Enterprise as a paid product with custom pricing based on CPU configuration. It also includes a 30-day free trial with no credit card needed.
Yes. The product page says InfluxDB 3 Enterprise includes the InfluxDB 3 Explorer UI for queries, visualizations, database administration, and onboarding, and it supports simple SQL or natural language for querying.
The product page says the InfluxDB 3 Processing Engine can run custom Python logic to detect anomalies and trigger downstream events directly from the database.
The pricing page says Telegraf is InfluxData's open source data collection agent, and the home page says InfluxData also provides client libraries in languages such as Python, JavaScript, Go, C#, and Java.