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InfluxData

InfluxData

Software Development

San Francisco, California 22,806 followers

Creator of InfluxDB, the leading time series data platform

About us

InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com.

Industry
Software Development
Company size
201-500 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2012
Specialties
Database, IoT, Monitoring, InfluxDB, Telegraf, IIoT, Time Series, Real-Time Analytics, and Analytics

Locations

  • Primary

    548 Market St

    PMB 77953

    San Francisco, California 94104, US

    Get directions

Employees at InfluxData

Updates

  • This quick video demonstrates how easy it is to browse and install plugins from InfluxDB 3 Explorer! Here are 5 powerful time series plugins you can install in 60 seconds. Forecasting, alerts, replication, and more—no coding required! 1️⃣ Forecasting Plugin: Forecasts time series data using a popular open source machine learning library: Prophet by Facebook. 2️⃣ Deadman Alert Plugin: Checks if a specific table has received any data within a configured time window (e.g., every 5 minutes). If no data is found, it sends a Slack notification to alert you that something might be wrong with your data pipeline, devices, or systems. 3️⃣ SMS/WhatsApp Alert Plugin: Send SMS/WhatsApp alerts via third-party tools such as Twilio for any given condition. 4️⃣ Custom Data Replication Plugin: Replicates any/all data written to an InfluxDB 3 Core/Enterprise instance to a remote InfluxDB 3 bucket. It features durable queuing, compression, validation, downsampling, and table filtering. The data written to it can come from anywhere, including Telegraf. 5️⃣ Data Aggregation & Processing: This WAL flush plugin automatically collects statistical metrics for a table whenever data is written to it, generating a new table that records statistics for each numerical column (Min, Max; Mean, Median, Mode; 95th Percentile) 🔌 Dig deeper into each plugin here: https://bit.ly/4k1u8rM

  • Industrial environments depend on high-volume machine and sensor streams that require reliable ingestion, processing, and visualization. On January 20th, Coenraad Pretorius, Founder of recultiv8, will demonstrate how he builds modernized data architectures using InfluxDB 3 Core with Azure services, Python processing workflows, Grafana dashboards, and SQL-driven analytical layers. Join us to learn about: ▪️ How modern edge + cloud architecture replaces traditional historians while reducing licensing costs and complexity ▪️ Architecture patterns for separating operational edge workloads from intensive cloud analytics while maintaining data resilience and offline capability ▪️ Implementing real-time analytics on the edge using scheduled Python plugins for business logic Register here → https://bit.ly/4pqKFqU

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  • InfluxDB 3 Enterprise is engineered for performance; designed for flexibility. Built on a cloud-native, diskless architecture that removes the limits of traditional storage, Enterprise is easy to deploy, scales effortlessly, and eliminates the complexity of managing clusters. Run Enterprise how you want: Single Node ↳ Migrate from InfluxDB 3 Core to a fully-featured, all-in-one production environment. Multi Node ↳ Achieve fault tolerance and scalability by adding nodes for writes, reads, and distributed and isolated workloads. Hub Configurations ↳ Support federated deployments: ingest at the edge and sync to a central hub for aggregation, query, and storage. Unlock the power of InfluxDB 3 instantly and get unlimited cardinality, real-time querying, high-volume ingest, and data interoperability.

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  • InfluxDB handles millions of data points per second, but those data points need proper structure. Line protocol organizes your data into measurements, tags, fields, and timestamps, turning raw IoT sensor data into indexed, queryable time series. ↴

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Funding

InfluxData 7 total rounds

Last Round

Debt financing

US$ 30.0M

See more info on crunchbase