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InfluxData

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InfluxData offers InfluxDB, the leading time series database platform built for real-time data and AI applications. It empowers developers to ingest, store, and analyze massive volumes of high-velocity data from IoT, applications, and infrastructure. Featuring high-performance querying, superior data compression, and seamless integration with data lakes and AI/ML pipelines, InfluxData is the engine for anomaly detection, predictive maintenance, and autonomous systems.

5
Added on: 2025-08-13
Price Type Freemium
Monthly Traffic: 310.4K

InfluxData Overview

InfluxData is the creator of InfluxDB, the premier open-source time series database platform. It is purpose-built to handle the massive volumes and high velocity of time-stamped data generated by sensors, applications, and infrastructure. At its core, InfluxData provides the engine for real-world AI, enabling systems to detect, respond, and predict intelligently based on patterns in data over time. The latest version, InfluxDB 3.0, is re-architected in Rust and leverages the Apache ecosystem—including Arrow, DataFusion, and Parquet—to deliver unparalleled performance, unlimited cardinality, and significant cost savings through advanced compression. This platform is designed for developers, offering flexible deployment options from cloud to on-premise to the edge, ensuring that you can build powerful real-time systems wherever you need them.

How to use InfluxData

Getting started with InfluxData involves a straightforward process tailored for developers and data teams:

  1. Choose Your Deployment: Select the InfluxDB product that fits your needs. You can start for free with InfluxDB Cloud Serverless, opt for a managed InfluxDB Cloud Dedicated instance, or self-host with InfluxDB Enterprise or the open-source InfluxDB 3 Core.
  2. Ingest Data: Use Telegraf, InfluxData's open-source data collector with over 300 input plugins, to pull metrics from your systems, sensors, and applications. Alternatively, use the extensive client libraries for languages like Python, Go, JavaScript, and C# to stream data directly into InfluxDB.
  3. Query and Analyze: Leverage the power of SQL to query your time series data. InfluxDB's high-performance query engine, built on Apache DataFusion, allows for real-time analytics, enabling you to transform and analyze millions of data points per second.
  4. Integrate and Extend: Connect InfluxDB to your existing technology stack. Its open data format (Apache Parquet) and catalog integration (Apache Iceberg) allow for zero-copy data sharing with data lakes and warehouses. This enables you to train AI/ML models or run complex analytics in tools like Spark or Snowflake without moving or duplicating data.
  5. Automate and Monitor: Set up automated tasks for downsampling high-resolution data, creating alerts for anomalous behavior, and automatically evicting cold data to cheaper object storage to manage costs effectively.

Core Features of InfluxData

  • High-Performance at Scale: Ingest millions of data points per second without performance degradation and query massive datasets with sub-second latency.
  • Real-Time Analytics Engine: Perform complex analytical queries, aggregations, and transformations on streaming data as it arrives.
  • Advanced Data Compression: Utilizes Apache Parquet columnar format and advanced compression algorithms to reduce storage costs by up to 90% compared to other databases.
  • Unlimited Cardinality: The InfluxDB 3.0 engine is designed to handle high-cardinality data without the performance limitations of older time series solutions.
  • Flexible Deployment: Run InfluxDB anywhere—in the cloud (multi-tenant or dedicated), on-premise in your data center, or at the network edge for localized processing.
  • Open and Extensible: Built on open standards (SQL, Parquet, Arrow, Iceberg) and integrates seamlessly with over 300 tools via Telegraf, plus extensive client libraries for all major programming languages.
  • Data Lifecycle Management: Automatically manages data tiers, moving recent, "hot" data from in-memory storage to cheaper, "cold" object storage over time.

Use Cases for InfluxData

InfluxData is the backbone for a wide range of real-time applications across various industries:

  • Real-Time AI and Predictive Analytics: Provides high-resolution, context-rich time series data that AI and ML models need to infer cause and effect, enabling accurate forecasting and intelligent automation.
  • Anomaly Detection: Monitor critical systems in real-time to instantly detect unusual patterns or deviations from the norm, triggering automated responses to prevent failures.
  • Predictive Maintenance: Analyze sensor data from industrial equipment and machinery to predict potential failures, allowing for proactive maintenance that minimizes downtime and costs.
  • IoT and Industrial IoT (IIoT): Collect, store, and analyze data from millions of connected devices, from smart home sensors to factory floor machinery, to gain operational insights.
  • DevOps and Infrastructure Monitoring: Monitor the health and performance of servers, containers, applications, and networks with high-granularity metrics to ensure reliability and performance.

Advantages of InfluxData

Developers and enterprises choose InfluxData for several key advantages:

  • Developer-Centric: Built by developers, for developers, with a focus on ease of use, powerful APIs, comprehensive documentation, and a vibrant community.
  • Superior Performance: Outperforms other time series databases in both ingest and query speed, which is critical for real-time applications.
  • Massive Cost Savings: The combination of extreme data compression and the ability to use low-cost object storage for historical data leads to a significantly lower total cost of ownership.
  • Future-Proof Architecture: By embracing open data standards like Parquet and Iceberg, InfluxData avoids vendor lock-in and ensures interoperability with the broader data ecosystem, including data lakes and AI platforms.
  • Unified Platform: Manages the entire data lifecycle within a single, cohesive platform, from high-speed ingestion and real-time querying to long-term storage and integration.

Pricing and Plans

InfluxData offers a flexible pricing structure to suit different needs and scales:

  • InfluxDB Cloud Serverless: A fully managed, multi-tenant service with a perpetual free tier for getting started. Paid plans operate on a pay-as-you-go basis, charging for data ingested, queried, and stored, with a $250 credit for new upgrades.
  • InfluxDB Cloud Dedicated: A fully managed, single-tenant service on dedicated infrastructure for larger workloads requiring enhanced security, performance, and unlimited scale. Pricing is custom and based on configuration.
  • InfluxDB Enterprise: A self-managed, highly available, and scalable version for deployment on-premise or in a private cloud. It includes enterprise-grade features and support. Pricing is available upon request.
  • InfluxDB 3 Core (OSS): The free, open-source time series engine for single-node deployments, perfect for smaller projects, testing, and edge computing.

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InfluxDataWebsite Traffic Analysis

Latest Traffic

Monthly Visits 310.4K
Average Visit Duration 2:15
Pages per Visit 3.67
Bounce Rate 45.7%

Status

Down -4.0% vs Last Month
Data updated on 2026-06-15

Monthly Traffic Trend

Geography

Top 5 Countries/Regions

  • 🇺🇸 United States
    30.16%
  • 🇩🇪 Germany
    23.21%
  • 🇮🇳 India
    18.65%
  • 🇻🇳 Vietnam
    17.74%
  • 🇨🇳 China
    10.24%

Traffic source

Source Type Percentage
Direct Access
80.59%
Referral
16.36%
Email
3.05%

Popular Keywords

Keyword Cost Per Click
$4.39
$0.88
$5.81
$1.90
$0.15

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