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.

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.