AI TOOL PROFILE

InfluxData: Time Series Database Platform

InfluxData helps companies manage high-volume, high-resolution time series data. It is designed for teams needing real time monitoring or AI/ML pipelines for sensor and telemetry data.
  • Data and Analytics
  • Database
  • Software Companies
  • Mid-Market Companies
  • Enterprise Companies
  • IoT and Sensor-heavy operations
  • DevOps and SRE teams

Pricing

A free tier is available, which includes a $250 credit for 30 days upon upgrade. Enterprise trials are also available.

At a glance

Best for
Software Companies, Mid-Market Companies, Enterprise Companies, IoT and Sensor-heavy operations, DevOps and SRE teams
Key use cases
Infrastructure and Network Monitoring, IoT Analytics and Predictive Maintenance, AI and Machine Learning Pipelines, Satellite and Aerospace Telemetry, Modern Data Historian
Integrations
Apache Iceberg, Parquet, AWS, Grafana
Visit InfluxDataInfluxData software interface screenshot

How AI is used

InfluxData offers InfluxDB, a time series database designed to handle the flow of data from edge devices, telemetry, and real time systems. The platform supports high-speed ingestion and real time queries, with both self-managed and fully managed cloud deployments available.

It is intended for organizations in industries such as IoT, aerospace, energy, and manufacturing. The tool supports various deployment models, including an open-source core, dedicated cloud, and enterprise versions.

The platform helps capture millions of data points per second and supports integration with lakehouses or warehouses. It is also designed for AI and machine learning workloads by providing a stream of high-precision telemetry.

Buyers should confirm which deployment model fits their needs, as features vary between the open-source Core, the Enterprise self-managed version, and the Serverless or Dedicated cloud options.

Key Features

  • High-Speed Ingestion

    Supports the intake of millions of data points per second for high-velocity data streams.

  • Real Time Analytics

    Designed to transform and analyze time series data in real time.

  • Parquet Compression

    Uses Parquet-based compression to store more data in less space, which may reduce storage costs.

  • Lakehouse Integration

    Supports the eviction of cold data and streaming into data lakes and warehouses.

  • Telegraf Plugins

    Includes over 400 plugins to help collect data from various systems, applications, and containers.

  • Multi-Language Client Libraries

    Provides libraries for Python, JavaScript, Go, C#, and Java to support application integration.

Use Cases

  • Infrastructure and Network Monitoring

    Collecting and analyzing real time metrics to monitor system health and identify performance regressions.

  • IoT Analytics and Predictive Maintenance

    Ingesting granular sensor data from industrial equipment to help predict failures and optimize throughput.

  • AI and Machine Learning Pipelines

    Providing high-precision telemetry streams to support the development and operation of AI models.

  • Satellite and Aerospace Telemetry

    Capturing high-rate sensor streams for navigation and real time diagnostics.

  • Modern Data Historian

    Replacing legacy historians with a system designed for Industry 4.0 real time data requirements.

Integrations

  • Apache Iceberg
  • Parquet
  • AWS
  • Grafana

FAQ

What is InfluxData used for?

It is used to collect, store, and analyze high-resolution time series data in real time, specifically for systems like IoT sensors, network monitoring, and AI pipelines.

Does InfluxData offer a free version?

Yes, there is an open-source InfluxDB 3 Core version and a free tier for the cloud service that provides a $250 credit for 30 days upon upgrade.

Where can InfluxDB be deployed?

It supports several environments, including self-managed on-prem or private cloud, and fully managed cloud options like Serverless and Dedicated.

Source category: Data & Analytics

Source subcategory: Database

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