InfluxDB vs OpenTSDB

Struggling to choose between InfluxDB and OpenTSDB? Both products offer unique advantages, making it a tough decision.

InfluxDB is a Development solution with tags like time-series, metrics, monitoring.

It boasts features such as 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 pros including Fast write and query performance, Easy horizontal scaling, Open source with active community, Integrates well with Grafana for visualization.

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

Its standout features include Distributed and horizontally scalable architecture, Built on top of HBase for reliability and scalability, Customizable rollup tables for aggregating data, Tag-based metric model for organizing time series data, HTTP API for writing and querying data, Support for downsampling and aggregation of data, Plugin architecture for adding functionality, and it shines with pros like Handles massive amounts of time series data, Low latency queries, Easy to scale horizontally, Integrates well with Hadoop ecosystem, Open source and free to use.

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.

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

OpenTSDB

OpenTSDB

OpenTSDB is a distributed, scalable time series database optimized for storing and serving massive amounts of time series data without losing granularity. It's designed to be used as a backend for monitoring systems and analytics platforms.

Categories:
Development Databases
time-series monitoring analytics

OpenTSDB Features

  1. Distributed and horizontally scalable architecture
  2. Built on top of HBase for reliability and scalability
  3. Customizable rollup tables for aggregating data
  4. Tag-based metric model for organizing time series data
  5. HTTP API for writing and querying data
  6. Support for downsampling and aggregation of data
  7. Plugin architecture for adding functionality

Pricing

  • Open Source

Pros

Handles massive amounts of time series data

Low latency queries

Easy to scale horizontally

Integrates well with Hadoop ecosystem

Open source and free to use

Cons

Limited ad-hoc querying capabilities

Steep learning curve

Not optimized for real-time streaming data

No built-in visualization or dashboarding