Operations | Monitoring | ITSM | DevOps | Cloud

Data Historians vs. Time Series Databases: A Practical Path Forward

Industrial data strategy often feels like a choice: keep legacy systems or replace them outright. But neither extreme is ideal. Full replacements are disruptive and costly, while avoiding change leaves businesses stuck with tools that limit growth. The better path is incremental. Each organization has different needs, and modernization works best when you build on proven systems while adding new capabilities.

The Right Tool for the Right Job: How to Bring CSV Data into InfluxDB 3

Comma-separated value (CSV) files are one of the simplest formats for structured data and remain widely used across industries. From machine exports to business reports, CSVs are easy to create, edit, and share. They serve as a backbone for data management, ensuring teams can exchange information quickly and consistently. However, CSVs alone are static. When ingested into a time series database, they shift from flat files to part of a living data pipeline.

What's New in InfluxDB 3.4: Simpler Cache Management, Provisioned Tokens, and More

Today, we’re releasing InfluxDB 3.4 for Core and Enterprise, as well as our 1.2 update for the Explorer UI. This release focuses on developer efficiency, operational automation, and targeted security enhancements, giving teams faster setup, smoother workflows, and stronger guardrails for production use. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.

The Real Cost of Choosing the Wrong Database

Data is more than a record of what happened—it shapes what happens next. Across industries, connected devices continuously stream time-stamped data that reflects the current state of machines, environments, and systems. This steady flow gives organizations a live view of operations and the ability to catch issues early, adjust quickly, and operate more efficiently. However, capturing data alone does not create value.

Balancing Speed and Safety with Continuous Delivery

The benefits of continuous delivery are well known these days: rapid feedback, speed of innovation, reduced fault recovery time, and increased confidence in release processes. Along the same lines, those who release less frequently are likely to encounter more stress. Continuous delivery is a spectrum; it doesn’t have to mean blasting every commit to all production environments at once. So, how do we strike a balance between speed and safety?

What's New in InfluxDB 3.3: Managed Plugins, Explorer Updates, and More

InfluxDB 3.3 is now available for both Core and Enterprise, which introduces new managed plugins for the Processing Engine, making it easier to address common time series tasks with just a plugin. On top of that, 3.3 includes a wide range of performance improvements, feature updates, and bug fixes. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.

Real-Time Flight Telemetry Monitoring with InfluxDB 3 Enterprise

When Microsoft Flight Simulator 2024 generates telemetry data at 30-60 FPS, capturing and processing that stream in real-time becomes a fascinating engineering challenge. We built a complete telemetry pipeline that reads over 90 flight parameters through FSUIPC, streams them to InfluxDB 3 Enterprise, and displays them in real-time dashboards that respond in under 5 milliseconds.

Ingest, Explore, Validate: A Quickstart with InfluxDB 3 Enterprise and Explorer UI

Great observability doesn’t just collect metrics—it tells you exactly what’s broken, why it’s broken, and what to do about it. InfluxDB 3 Enterprise delivers this through real-time ingestion, fast queries, and scalable storage. InfluxDB 3 Explorer provides the intuitive interface your team needs for database management, data ingestion, querying, and visualization without the usual complexity.

Smarter Workflows, Faster Insights: How InfluxDB 3 Unlocks the Power of Python at the Source

Businesses across industries rely on time-stamped data to track system health, monitor performance, and improve operations. Whether it’s sensors on a factory floor or usage logs from a SaaS platform, time series data reveals how things change. As businesses digitize operations and add connected devices, sensors produce growing streams of time-based data. This opens the door to faster analytics and smarter automation. But legacy approaches can’t keep up.