InfluxDB is the leading time series platform. It’s About Time. ⏱️

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Time series deployments rarely grow as planned. We built InfluxDB 3.11 for that complexity. Now, 3.12 gives enterprise deployments more room to scale: ✓ Bulk Parquet import 3x faster ✓ Distributed compaction (beta) ✓ Per-database schema enforcement ✓ RBAC, now GA bit.ly/46VLGk1 #influxdb
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Time series isn’t just about the past. It’s your window into what’s happening 𝙧𝙞𝙜𝙝𝙩 𝙣𝙤𝙬. Discover how a modern time series database turns metrics into real-time decisions that matter: bit.ly/44kSXJH #InfluxDB
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More sensors. More telemetry. Higher cost? With pay-per-tag pricing, that can be the reality for manufacturers relying on legacy data historians. In @ManufactureDive, we break down three ways legacy historians can limit modern manufacturing, and why architectures designed for high-volume time series data offer a different path to scale. #InfluxDB Read the full story: bit.ly/3RwAyWV
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Let’s be honest: getting the size of your deployment right is what makes or breaks real-world performance and cost. This blog on Amazon Timestream for #InfluxDB 3 shows you how to match your workload to the right deployment strategy, so you’re not overpaying or underpowered. If you're planning a deployment or optimizing an existing one, this guide is worth a look. 👇 go.aws/4uFkfF5
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Time series deployments rarely grow as planned. We built InfluxDB 3.11 for that complexity. Now, 3.12 gives enterprise deployments more room to scale: ✓ Bulk Parquet import 3x faster ✓ Distributed compaction (beta) ✓ Per-database schema enforcement ✓ RBAC, now GA bit.ly/46VLGk1 #influxdb
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SQL or Python for downsampling? With #InfluxDB 3, use SQL for flexible, query-time summaries or the Python Processing Engine to materialize rollups on a schedule. This guide walks through both approaches step by step: bit.ly/4ce7JFI
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The #InfluxDB 3 Enterprise + @Litmus_io edge integration replaces legacy historians with real-time visibility + scalable historical analysis in a single unified architecture. Watch the interview 👇 piped.video/watch?v=yKY8hqws…
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🤖 Physical AI demands more from industrial data. Training needs detailed history. Inference needs real-time telemetry. Both need to work across distributed environments. Traditional historians weren’t built for this. Discover 4 architectural gaps and how #InfluxDB 3 helps bridge them to power AI from training to action at the edge. Read the article 👇 bit.ly/4yzYLed
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How do you fix a satellite 40,000 km away? You don't. You predict the failure first. @Thales_Alenia_S is leveraging continuous time series telemetry and ML models to power true predictive maintenance. They keep critical satellites operational where physical repairs are simply impossible. bit.ly/4if3ADk #InfluxDB
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AI agents are only as useful as the data they can access. The official #InfluxDB 3 MCP Server connects Claude, ChatGPT, and other AI agents to InfluxDB 3 using natural language. New in v1.3.0: ✅ Protocol compliance testing ✅ Expanded integration tests ✅ Improved npm packaging ✅ Support across all InfluxDB 3 editions Read more: influxdata.com/blog/influxdb…
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Physical AI is powering LEO satellites and Mars missions, but it needs high-fidelity time series data to work. Thousands of sensor readings per second feed models that make deterministic decisions, not probabilistic guesses. The leaders in space are building on purpose-built time series infrastructure to power real-time monitoring, autonomy, and predictive anomaly detection. Turning telemetry into intelligence is what will set the next generation of space systems apart: bit.ly/3L1qnFR by #InfluxDB CEO @evankaplan via @SpaceNews_Inc
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We're honored to be named one of the Coolest Database System Companies in CRN's 2026 Big Data 100. 🎉 As AI increases demand for real-time, operational data, we're proud to help organizations unlock the value of time series data at scale with #InfluxDB bit.ly/4oMqLbd
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Join the @ApacheDataFusio community in San Francisco for an evening of lightning talks, mingling, and snacks. Co-hosted by InfluxData’s @andrewlamb1111 this meetup will spotlight real-world applications, performance innovations, and evolving integrations. 🎙️ Speaker lineup coming soon! 📍 Thursday, November 12 | 5:30 PM - 8:30 PM Come for the talks, stay for the community, and leave with new ideas. Get the date on your calendar: bit.ly/3VMvWgV
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Real-time analytics or historical analysis? With the right architecture, you don't have to choose. A new @AWSCloud blog demonstrates a dual-path IoT architecture that combines streaming and batch processing, with Amazon Timestream for #InfluxDB 3 powering low-latency time series analytics. Read more: go.aws/4fOM2hx
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InfluxDB + @Grafana = a tried-and-true pairing for time series monitoring. With #InfluxDB 3, connecting the two is simpler than ever. No third-party plugin or new query language required. Our latest guide shows you how to go from data ingestion to a real Grafana dashboard using a realistic smart-building dataset. Read the guide: bit.ly/4yZRzJ9
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#InfluxDB lets you enforce schemas at the bucket level when you need structured time series data. Learn how explicit schemas work and when to use them for your data model. 🎯 piped.video/MkbhvurkekE?si=0gHv…
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30,000+ nodes monitored. 500,000+ hours of ONTAP testing supported monthly. ~1 minute to bring a new host under monitoring. Explore how @NetApp uses Telegraf, #InfluxDB + Grafana to turn telemetry at scale into proactive incident response: bit.ly/4ycDYO0
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Five new #InfluxDB Processing Engine plugins have landed. From SageMaker inference to Chronos forecasting, these additions expand a growing library for data transformation, downsampling, anomaly detection, alerting, and more, all running inside your existing InfluxDB instance. Watch the video 👇
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InfluxData CEO @evankaplan sat down with @JamesMaguire to explain how time series data has become foundational for the modern enterprise. He detailed how specialized databases outperform general-purpose systems for fast, high-resolution data, why devs must increasingly start projects with time series in mind, and how #InfluxDB 3 represents a total architectural overhaul built for scale, performance, and real-time intelligence: bit.ly/4q1sYPx
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New to #InfluxDB 3 Core or Enterprise? The launch hub has tutorials, videos, and technical walkthroughs to get you from zero → real-time data fast.👇 bit.ly/42zzR0e
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One developer directed agents through 6,778 commits and 1M+ lines of Rust in 11 days. @pauldix on why the harness and verification behind the Bun rewrite matter more than the language switch, and what happened when he tried it on #InfluxDB: bit.ly/3UtkQgs
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