DalmatinerDB vs Prometheus
Struggling to choose between DalmatinerDB and Prometheus? 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, Prometheus is a Ai Tools & Services product tagged with monitoring, alerting, metrics.
Its standout features include Multi-dimensional data model with time series data identified by metric name and key/value pairs, PromQL, a flexible query language to leverage this dimensionality, No reliance on distributed storage; single server nodes are autonomous, Time series collection happens via a pull model over HTTP, Pushing time series is supported via an intermediary gateway, Targets are discovered via service discovery or static configuration, Multiple modes of graphing and dashboarding support, and it shines with pros like Highly dimensional model allows flexible and efficient queries, PromQL supports aggregation and recording rules for pre-calculation, Built-in alerting and notification routing, Highly available with simple operational model, Native support for Kubernetes, Strong ecosystem integration.
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
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.
Categories:
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
Pricing
- Open Source
Pros
Cons
Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if certain conditions are met.
Categories:
Prometheus Features
- Multi-dimensional data model with time series data identified by metric name and key/value pairs
- PromQL, a flexible query language to leverage this dimensionality
- No reliance on distributed storage; single server nodes are autonomous
- Time series collection happens via a pull model over HTTP
- Pushing time series is supported via an intermediary gateway
- Targets are discovered via service discovery or static configuration
- Multiple modes of graphing and dashboarding support
Pricing
- Open Source