All machinery and equipment, including their controls and sensors, tell a story through the data they collect. This data, or Industrial Internet of Things (IIoT) data, provides a detailed narrative about the machines, offering actionable insights to improve operations. IIoT data empowers businesses to optimize and enhance industrial processes by detailing operational status, performance metrics, usage patterns, health diagnostics, and environmental conditions.

Two weeks into the alpha release of InfluxDB 3 Core (our new open source offering) and InfluxDB 3 Enterprise (our newest commercial offering), we’ve received a good amount of feedback that the 72 hour limitation in Core is too limiting. This fell into three categories: For the users in category 1, we’re announcing a free tier of InfluxDB 3 Enterprise for at-home, non-commercial use.

Time series data is everywhere—from IoT sensors and server metrics to financial transactions and user behavior. To collect, store, and analyze this data efficiently, you need tools purpose-built for the job. That’s where the TIG Stack comes in: Telegraf for data collection, InfluxDB for storage and analytics, and Grafana for visualization. Together, these tools offer a powerful solution for real-time analytics, observability, and monitoring.

InfluxDB 3 builds on open-source technologies—Flight, DataFusion, Arrow, and Parquet—but even if a developer made their own time series database using the same technologies, they would not be able to replicate InfluxDB 3. The FDAP stack provides many of the building blocks required for a high-performance database, such as the fast, multi-threaded, streaming, columnar execution engine that defines InfluxDB 3.

The long-awaited InfluxDB 3 Core is finally here, introducing a powerful new way to manage your time series data. InfluxDB 3 Core is an open source recent-data engine for time series and event data. It’s currently in public Alpha under MIT/ Apache 2 license. In this post, we’ll dive into how to query and write data using the Python client library, unlocking the full potential of InfluxDB v3 Core with clear, hands-on examples.

New InfluxDB 3 Core and InfluxDB 3 Enterprise products now available for alpha testing. Today we’re excited to announce the alpha release of InfluxDB 3 Core (download), the new open source product in the InfluxDB 3 product line along with InfluxDB 3 Enterprise (download), a commercial version that builds on Core’s foundation. InfluxDB 3 Core is a recent-data engine for time series and event data.

Today, we are announcing the public alpha of the newest additions to the InfluxDB 3 time series database product line: InfluxDB 3 Core, our latest open source product, and InfluxDB 3 Enterprise, a commercial version built on Core that provides enhanced functionality for enterprise-scale applications.

When Netflix buffers or AWS goes down, teams spring into action. But how do they identify and fix issues so quickly? The secret lies in intelligent DevOps monitoring, a system that not only watches but understands your infrastructure’s behavior. In this hands-on guide, we’ll build a modern monitoring pipeline that helps you catch and resolve issues before your users notice them. We have prepared a sample Python application that we encourage you to play with to understand the system in action.

Apache DataFusion has reached an inflection point. It has matured beyond early adopters and is now a viable choice for anyone building highly performant analytic systems. I predict 2025 will bring a significant acceleration in the number of systems built on DataFusion, and my focus this year is to help drive that growth.

InfluxDB is a purpose-built time series database designed to handle high-write throughput and large volumes of time-stamped data. From monitoring system metrics to tracking IoT device readings and analyzing financial trends, it excels in scenarios where time is a fundamental factor. With the release of InfluxDB v3, users now benefit from dual query language support: SQL and InfluxQL.