Struggling to choose between DalmatinerDB and Grafana Loki? 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, Grafana Loki is a Monitoring & Observability product tagged with logs, monitoring, observability.
Its standout features include Log aggregation system, Optimized for querying logs, Uses labels to organize log streams, Integrates with Grafana for visualizations, and it shines with pros like Open source and free, Scales horizontally, Fast queries, Integrated with Grafana ecosystem.
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.
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.
Grafana Loki is an open source logging aggregation system designed to be part of the Grafana ecosystem. It is optimized for saving, indexing, and querying logs through labels and streams.