Axibase Time Series Database vs KairosDB

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/DevO

KairosDB — KairosDB is a fast, scalable, open source time series database that is designed to analyze large amounts of time-stamped data. It is written in Java and built on top of Cassandra for high scalability

Axibase Time Series Database offers 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, while KairosDB provides Scalable time series data storage, High performance write and query operations, Plugin architecture for custom data processing, Integration with Cassandra for distributed storage, REST API for data access.

Axibase Time Series Database stands out for Purpose-built for time series data, High performance and scalability, Powerful analytics capabilities; KairosDB is known for Highly scalable to handle large time series data, Fast write performance for ingesting high velocity data, Flexible query capabilities.

Feature	Axibase Time Series Database	KairosDB
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services
Pricing	Open Source	Open Source

Product Overview

Axibase Time Series Database

Description: 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.

KairosDB

Description: KairosDB is a fast, scalable, open source time series database that is designed to analyze large amounts of time-stamped data. It is written in Java and built on top of Cassandra for high scalability and performance.

Key Features Comparison

Axibase Time Series Database Features

• 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

KairosDB Features

• Scalable time series data storage
• High performance write and query operations
• Plugin architecture for custom data processing
• Integration with Cassandra for distributed storage
• REST API for data access
• Aggregation functions for time series data analysis

Pros & Cons Analysis

Axibase Time Series Database

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

KairosDB

Pros

• Highly scalable to handle large time series data
• Fast write performance for ingesting high velocity data
• Flexible query capabilities
• Easy to deploy and manage
• Integrates with existing Cassandra clusters
• Open source with active development community

Cons

• Limited ad-hoc analytics compared to full analytics databases
• Less ecosystem support than more established databases
• Requires expertise with Cassandra for production deployments
• Not ideal for complex time series modeling

Pricing Comparison

Axibase Time Series Database

• Open Source

KairosDB

• Open Source