InfluxData

🕒 IT’S TIME: InfluxDB 3 Open Source is now GA and ready for production. Today, we’re announcing the general availability of #InfluxDB 3 Core, a high-speed, recent-data engine that’s open source and licensed under MIT and Apache 2. Core delivers fast ingest, unlimited cardinality, and low-cost object storage, all built on the InfluxDB 3 architecture. We're also releasing InfluxDB 3 Enterprise, a commercial product that builds on Core and is for production environments. It adds long-range querying, read replicas, high availability, scalability, and fine-grained security. Both Core and Enterprise include an embedded Python Processing Engine that turns the database into an active intelligence layer, enabling real-time data transformation, monitoring, and automation with no external services required. They run as a single process, are easy to deploy, and are powered by the FDAP stack (Flight, DataFusion, Arrow, Parquet)—the result of over four years of engineering. Read the announcement from our Founder & CTO, Paul Dix: https://bit.ly/4jiYllO

At #DataCouncil2025, InfluxData Founder and CTO Paul Dix will dive into #InfluxDB 3 Core's diskless architecture, object storage persistence, and real-time data ingestion. Learn how its embedded Python VM turns Core into a powerful data collector, monitoring agent, and transformation platform. https://bit.ly/3Qn9Pb5

Our series on optimizing SQL and DataFrames in Apache DataFusion continues! 🚀 In part two, we describe various optimizations found in DataFusion and other industrial systems in more detail. https://bit.ly/4ieluo3 #InfluxDB

IoT data moves fast—your pipeline should too. Learn how to capture real-time metrics like temperature, power, and fuel with Telegraf, Mosquitto, and #InfluxDB. https://bit.ly/3CQLGG0

⏱️ Handling time series at scale just got easier—InfluxData and AWS are expanding their partnership to power high-resolution, real-time workloads for AI and IoT. https://bit.ly/4jciqdh via SiliconANGLE & theCUBE with Evan Kaplan, CEO of InfluxData and Brad Bebee, GM of Amazon Neptune and Timestream at Amazon Web Services (AWS) #InfluxDB #TimeSeries

Explore what’s new in open source! 🛠️ The InfluxDB 3 Open Source Launch Hub is your go-to spot for the latest features and how to get started. https://bit.ly/41EY596 #InfluxDB

The TIG Stack—Telegraf for data collection, InfluxDB for storage, and Grafana for visualization—offers a powerful solution for time series data analysis. 🔎📊 InfluxDB 3 Core brings enhanced performance and cost-efficiency, making it ideal for real-time monitoring and analytics. Learn how to get started with the TIG Stack, from writing data to InfluxDB to visualizing insights in Grafana, with our step-by-step guide. https://bit.ly/4jzgPyS #InfluxDB

🌎 Where in the world is InfluxDB? Catch us at the following events in the next few weeks. If you're attending, make sure to swing by and talk with our experts about all things time series! ➡️ DataCouncil2025: https://bit.ly/4jfrldI 📍Oakland, CA, United States 📆 Apr 22 ➡️ AWS Summit London 2025: https://go.aws/3IDZCAD 📍London, England 📆 Apr 30 ➡️ GrafanaCON: https://bit.ly/3DRaFKz 📍 Seattle, WA, United States 📆 May 6-8 ➡️ Snowflake Summit 2025: https://bit.ly/43VvOh6 📍 San Francisco, CA, United States 📆 June 2-5 #InfluxDB #GrafanaCON #DataCouncil2025

The InfluxDB 3 Processing Engine lets you run Python code inside the database—so you can transform, enrich, and act on time series data in real-time, without offloading to external systems. In this session, Developer Advocate Suyash J. will show you how to build, deploy, and manage a Python plugin directly within InfluxDB 3 Core and Enterprise. Register today: https://bit.ly/4cAhBZv #InfluxDB

IoT devices are constantly streaming data—and turning that data into real-time insights is critical. Enter the MING stack: Mosquitto, InfluxDB, Node-RED, and Grafana. It’s a powerful combo that simplifies IoT data collection, processing, and visualization. Check out this high-level overview to see it in action: https://bit.ly/4c9Tqz9 #InfluxDB