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InfluxDB Cloud Serverless

InfluxDB Cloud Serverless is an elastic, scalable, fully managed time series database built for real-time analytical workloads

Available in

AWS Marketplace

Available in

AWS Marketplace

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About

InfluxDB Cloud Serverless is an elastic, scalable, fully managed time series database that is built for real-time analytical workloads. Built as a cloud-native, elastic serverless platform exclusively on AWS, InfluxDB Cloud Serverless is ideal for developers who want to start building small and scale their time series workload as their business grows over time. Its usage based pricing allows users the flexibility to pay for just what they use and not worry about paying for any infrastructure or scaling capacity. It also natively provides query support for both SQL and InfluxQL, a custom SQL-like query language with added support for time-based functions.

Under the hood, InfluxDB Cloud Serverless is powered by InfluxDB 3.0, which brings the following benefits to users:

100x faster queries on high-cardinality data with powerful analytics performance that independently scales ingest and query.

45x faster data ingest enables real-time analytics on leading-edge data.

90 percent reduction in storage costs enabled by low-cost object store and separation of compute and storage combined with best-in-category data compression.

Highest-grade security and compliance with encryption of data in transit and at rest with private networking options and single sign-on (SSO). InfluxDB Cloud Serverless has also achieved certifications for SOC 2 Type II, ISO/IEC 27001:2013 and ISO/IEC 27018:2019.

Use cases include:

Infrastructure & Application Monitoring: Perform real-time analytics of metrics, events, and traces in a single datastore to ensure the performance of your entire stack.

IoT Analytics: Gain real-time insights on IoT sensor data to better understand customer usage and device health.

Real-time analytics: Get analytics in real-time for recent edge of data to power higher applications and automation.

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