Grafana vs DalmatinerDB

Struggling to choose between Grafana and DalmatinerDB? Both products offer unique advantages, making it a tough decision.

Grafana is a Ai Tools & Services solution with tags like analytics, monitoring, visualization, dashboard.

It boasts features such as Visualization of time series data, Support for multiple data sources, Annotation and alerting capabilities, Dashboard creation and sharing, Plugin ecosystem for extensibility and pros including Open source and free, Powerful and flexible visualization, Wide range of data source integrations, Active community support.

On the other hand, DalmatinerDB is a Development product tagged with metrics, timeseries, erlang.

Its standout features include 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 it shines with pros like Highly scalable and distributed architecture, Very fast writes for time-series data, Erlang runtime provides fault tolerance, Open source with permissive MIT license.

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.

Grafana

Grafana

Grafana is an open source analytics and monitoring visualization tool. It allows you to query, visualize, alert on and understand metrics from various data sources like Prometheus, Elasticsearch, Graphite, and more. Grafana makes it easy to create dashboards with drilling down capabilities as well as share visualizations with non-technical team members.

Categories:
Ai Tools & Services Data Visualization
analytics monitoring visualization dashboard

Grafana Features

  1. Visualization of time series data
  2. Support for multiple data sources
  3. Annotation and alerting capabilities
  4. Dashboard creation and sharing
  5. Plugin ecosystem for extensibility

Pricing

  • Open Source
  • Free
  • Enterprise Subscription

Pros

Open source and free

Powerful and flexible visualization

Wide range of data source integrations

Active community support

Cons

Steep learning curve

Setting up data sources can be tricky

Limited built-in alerting capabilities

DalmatinerDB

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:
Development Databases
metrics timeseries erlang

DalmatinerDB Features

  1. Fast write throughput
  2. Built-in sharding and replication
  3. Query language for analyzing time-series data
  4. HTTP API for writing and querying metrics
  5. Plugins for ingesting data from various sources

Pricing

  • Open Source

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