Graphite Monitoring vs DalmatinerDB

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

Graphite Monitoring is a Network & Admin solution with tags like metrics, timeseries, visualization, scalable.

It boasts features such as Real-time graphing, Dashboard creation, Alerting and notifications, Data visualization, Metrics aggregation, Customizable graphs and dashboards, Integration with StatsD and collectd and pros including Open source and free, Scalable architecture, Wide range of integrations, Flexible graphing and dashboarding, Powerful API for automation, Large 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.

Graphite Monitoring

Graphite Monitoring

Graphite is an open-source monitoring tool that stores time-series data and renders graphs of this data on demand. It is designed to be highly scalable to handle metrics from many servers and applications.

Categories:
Network & Admin Monitoring
metrics timeseries visualization scalable

Graphite Monitoring Features

  1. Real-time graphing
  2. Dashboard creation
  3. Alerting and notifications
  4. Data visualization
  5. Metrics aggregation
  6. Customizable graphs and dashboards
  7. Integration with StatsD and collectd

Pricing

  • Open Source

Pros

Open source and free

Scalable architecture

Wide range of integrations

Flexible graphing and dashboarding

Powerful API for automation

Large community support

Cons

Steep learning curve

Complex configuration

No built-in data collection agents

Limited alerting capabilities

Requires additional tools for full-stack monitoring

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