Axibase Time Series Database vs InfluxDB

Struggling to choose between Axibase Time Series Database and InfluxDB? Both products offer unique advantages, making it a tough decision.

Axibase Time Series Database is a Ai Tools & Services solution with tags like time-series, database, iot, devops, it-monitoring.

It boasts features such as Store and query numeric time series data, Analyze time series data using SQL queries, Visualize time series data using built-in graphing tools, Real-time aggregation and filtering of time series data, Rule-based alerting on time series, Plugin architecture to extend functionality, REST API for integration and pros including Purpose-built for time series data, High performance and scalability, Powerful analytics capabilities, Open source and free to use, Easy to set up and use.

On the other hand, InfluxDB is a Development product tagged with time-series, metrics, monitoring.

Its standout features include Time series data storage optimized for IoT sensor data, High availability and horizontal scalability, Built-in data compression, SQL-like query language, Real-time analytics, and it shines with pros like Fast write and query performance, Easy horizontal scaling, Open source with active community, Integrates well with Grafana for visualization.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Axibase Time Series Database

Axibase Time Series Database

Axibase Time Series Database (ATSD) is an open-source time series database optimized for collecting, storing, analyzing, graphing, and visualizing numeric time series data. It is designed for IoT/DevOps/IT monitoring use cases.

Categories:
Ai Tools & Services Time Series Database
time-series database iot devops it-monitoring

Axibase Time Series Database Features

  1. Store and query numeric time series data
  2. Analyze time series data using SQL queries
  3. Visualize time series data using built-in graphing tools
  4. Real-time aggregation and filtering of time series data
  5. Rule-based alerting on time series
  6. Plugin architecture to extend functionality
  7. REST API for integration

Pricing

  • Open Source
  • Free
  • Subscription-Based

Pros

Purpose-built for time series data

High performance and scalability

Powerful analytics capabilities

Open source and free to use

Easy to set up and use

Cons

Limited to time series data only

Steep learning curve for full functionality

Limited ecosystem compared to more established databases

InfluxDB

InfluxDB

InfluxDB is an open-source time series database optimized for fast, high-availability storage and retrieval of time series data in fields such as operations monitoring, application metrics, Internet of Things sensor data, and real-time analytics. It provides SQL-like query language, data compression, and high throughput.

Categories:
Development Databases
time-series metrics monitoring

InfluxDB Features

  1. Time series data storage optimized for IoT sensor data
  2. High availability and horizontal scalability
  3. Built-in data compression
  4. SQL-like query language
  5. Real-time analytics

Pricing

  • Open Source
  • Subscription-Based

Pros

Fast write and query performance

Easy horizontal scaling

Open source with active community

Integrates well with Grafana for visualization

Cons

Not suitable for complex queries

Limited aggregation functions compared to full SQL databases

No built-in backup utilities

Less ecosystem support than more established databases