@InfluxDB

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

 San Francisco
influxdata.com
Joined October 2013
  • Tweets32.8K
  • Following4.1K
  • Followers25.1K
14KMedia
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
1
1
3
468
Stop overpaying for idle cloud resources or scrambling when traffic spikes! #InfluxDB scales storage and compute automatically with your workload. You only pay for what you actually use, and your team stays focused on building instead of provisioning.
172
The v3 JavaScript client gives you programmatic access to write and query data in #InfluxDB 3. Get started quickly and build exactly what you need! 🔧 youtube.com/watch?v=vT5OLqTr…

Getting Started: InfluxDB 3 JavaScript Client Library

The v3 JavaScript client library provides a useful and programmatic...

youtube.com
1
376
One config change shouldn’t mean updating hundreds of Telegraf agents individually. Telegraf Controller 1.1 adds new ways to manage configuration fleet-wide: versioning, global constants, aliases + config groups. Plus HA for Enterprise. Learn more: bit.ly/4hOn3wm #InfluxDB
2
199
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
A cockpit with numerous control panels and displays is shown. To the left, white text on a blue background reads, "The High Stakes of Aerospace Reliability." The InfluxData logo is in the upper left corner.

ALT A cockpit with numerous control panels and displays is shown. To the left, white text on a blue background reads, "The High Stakes of Aerospace Reliability." The InfluxData logo is in the upper left corner.

1
175
AI requires formidable data infrastructure, especially at enterprise scale. Are we ready? #InfluxDB developer advocate @influxcole speaks to @joemckendrick for @dbtrends about the need for a clean and well-defined data model to serve as documentation for AI. Read the article to find out how the experts are approaching this paradigm shift. bit.ly/4bzujYh

Laying the Perfect Data Foundation for AI

Artificial agents, applications, and bots are popping up across every enterprise landscape, and data is rolling through at a fast and furious pace. While there has been plenty of hype, excitement,...

dbta.com
1
186
When a 3rd-party breach exposed gaps in SaaS visibility, our security team built an in-house monitoring platform powered by time series telemetry. Now we catch anomalies across their supply chain in real-time: bit.ly/4p7AMiK via @DarkReading #InfluxDB
A humanoid robot is looking through binoculars. The robot has a white and silver exterior with visible mechanical components. The background is a gradient of light blue.

ALT A humanoid robot is looking through binoculars. The robot has a white and silver exterior with visible mechanical components. The background is a gradient of light blue.

1
1
221
Every downsampling job, webhook, and anomaly check running outside your database is one more pipeline to babysit. Tomorrow, learn to run them as Python plugins inside #InfluxDB 3 with the Processing Engine in a training hosted by @influxcole 🗓 Oct 22 | 8AM PT | 3PM GMT
Sure! Here's an alternative text description: "Promotional image for a training event titled 'Intro to the InfluxDB 3 Processing Engine' by InfluxData. Scheduled for October 22, 2026, at 8 AM PT / 4 PM BST. Features a small circular photo labeled 'Cole Bowden, Senior Developer Advocate.' Includes a 'Register Now' button.

ALT Sure! Here's an alternative text description: "Promotional image for a training event titled 'Intro to the InfluxDB 3 Processing Engine' by InfluxData. Scheduled for October 22, 2026, at 8 AM PT / 4 PM BST. Features a small circular photo labeled 'Cole Bowden, Senior Developer Advocate.' Includes a 'Register Now' button.

2
224
From @CiscoLive to a remote construction site to data centers, @Cisco uses #InfluxDB to turn telemetry into operational decisions. 📡 Monitor 2,300 APs and 600+ switches during a live event 🏗️ Track ~30 sensor parameters with limited connectivity ⚙️ Stream network telemetry with Telegraf gNMI Three very different environments. One time series foundation. Read the story: bit.ly/3ORKbOB
1
260
Cardinality limits are a thing of the past. #InfluxDB 3 eliminates the series index that made high cardinality a memory bottleneck. Keep the device IDs, user IDs, and metadata that make your data useful. Millions of unique series are part of the job. Hit play to see the architecture behind unlimited cardinality.
1
219
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
1
256
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

3 reasons why their data historians hamstring manufacturers

Modernizing a data historian starts with building a business case around operational outcomes rather than technology replacement.

manufacturingdive.com
1
253
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

Timestream for InfluxDB 3 workload analysis and best practices | Amazon Web Services

Selecting the right instance size for your Amazon Timestream for InfluxDB 3 deployment is one of the most impactful decisions you’ll make when architecting your time series infrastructure. An...

aws.amazon.com
2
168
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
A digital banner for InfluxDB 3.12 by InfluxData, highlighting features like distributed compaction, three times faster imports, and increased control. The design features a dark blue background with large, teal digit "3.12" in a pixelated style.

ALT A digital banner for InfluxDB 3.12 by InfluxData, highlighting features like distributed compaction, three times faster imports, and increased control. The design features a dark blue background with large, teal digit "3.12" in a pixelated style.

3
258
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
Image showing two graphs with fluctuating data lines labeled "A Guide to Downsampling: Time Series Data with InfluxDB 3" at the top, alongside the InfluxData logo.

ALT Image showing two graphs with fluctuating data lines labeled "A Guide to Downsampling: Time Series Data with InfluxDB 3" at the top, alongside the InfluxData logo.

1
256
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 👇 youtube.com/watch?v=yKY8hqws…

Industrial AI ROI in 60-90 Days: InfluxDB 3 + Litmus Edge Integration

InfluxDB 3 Enterprise and Litmus Edge integrate to solve industrial...

youtube.com
1
413
🤖 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
A dark blue graphic features the InfluxData logo and text that reads: "Where Historians Fall Short for Physical AI.

ALT A dark blue graphic features the InfluxData logo and text that reads: "Where Historians Fall Short for Physical AI.

1
224
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
The image shows a cockpit filled with numerous controls and displays, with the text "The High Stakes of Aerospace Reliability" on the left. The InfluxData logo is in the upper left corner.

ALT The image shows a cockpit filled with numerous controls and displays, with the text "The High Stakes of Aerospace Reliability" on the left. The InfluxData logo is in the upper left corner.

1
242
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…
A promotional graphic for InfluxData's InfluxDB 3 MCP Server v1.3.0, featuring text: "AI Access to Time Series." A flowchart shows a process: "Investigate recent BESS alerts" leading to a database query: "SELECT * FROM alerts WHERE time > now() - interval '15 minutes';" The background is a dark blue with connecting lines and nodes.

ALT A promotional graphic for InfluxData's InfluxDB 3 MCP Server v1.3.0, featuring text: "AI Access to Time Series." A flowchart shows a process: "Investigate recent BESS alerts" leading to a database query: "SELECT * FROM alerts WHERE time > now() - interval '15 minutes';" The background is a dark blue with connecting lines and nodes.

1
250
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
1
245
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

The Coolest Database System Companies Of The 2026 Big Data 100

The coolest database system companies of the 2026 Big Data 100 include ClickHouse, Couchbase, EDB, MariaDB, MongoDB, Neo4j, Pinecone and Yugabyte.

crn.com
2
303
Load more