Axibase Time Series Database vs DalmatinerDB

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

DalmatinerDB — DalmatinerDB is a fast, distributed metrics database written in Erlang. It is optimized for storing time-series data like metrics and events. It can handle high volumes of writes with low latency.

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 DalmatinerDB provides Fast write throughput, Built-in sharding and replication, Query language for analyzing time-series data, HTTP API for writing and querying metrics, Plugins for ingesting data from various sources.

Axibase Time Series Database stands out for Purpose-built for time series data, High performance and scalability, Powerful analytics capabilities; DalmatinerDB is known for Highly scalable and distributed architecture, Very fast writes for time-series data, Erlang runtime provides fault tolerance.

Feature	Axibase Time Series Database	DalmatinerDB
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Development
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.

DalmatinerDB

Description: DalmatinerDB is a fast, distributed metrics database written in Erlang. It is optimized for storing time-series data like metrics and events. It can handle high volumes of writes with low latency.

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

DalmatinerDB Features

• Fast write throughput
• Built-in sharding and replication
• Query language for analyzing time-series data
• HTTP API for writing and querying metrics
• Plugins for ingesting data from various sources

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

DalmatinerDB

Pros

• Highly scalable and distributed architecture
• Very fast writes for time-series data
• Erlang runtime provides fault tolerance
• Open source with permissive MIT license

Cons

• Limited query capabilities compared to full-featured databases
• Lacks some features of commercial time-series databases
• Smaller community than more popular databases

Pricing Comparison

Axibase Time Series Database

• Open Source

DalmatinerDB

• Open Source