DalmatinerDB vs Axibase Time Series Database

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

DalmatinerDB is a Development solution with tags like metrics, timeseries, erlang.

It boasts features such as 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 and pros including Highly scalable and distributed architecture, Very fast writes for time-series data, Erlang runtime provides fault tolerance, Open source with permissive MIT license.

On the other hand, Axibase Time Series Database is a Ai Tools & Services product tagged with time-series, database, iot, devops, it-monitoring.

Its standout features include 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 it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

DalmatinerDB

• Open Source

Axibase Time Series Database

• Open Source
• Free
• Subscription-Based