Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
Metabase
Score 7.8 out of 10
N/A
Metabase aims to bring data tools with the simplicity of consumer products to the crufty world of enterprise business intelligence. Their open source analytics and business intelligence applications connect to most commonly used databases to let anyone in a company ask questions, and create dashboards or nightly emails without knowing SQL. Metabase Enterprise enables the user to embed branded analytics into customer applications.
$85
per month
Pricing
Datadog
Metabase
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Starter
$85
per month (includes 5 users, then $5 per user, per month)
Growth
$749
per month (includes 10 users, then $15 per user, per month)
Open Source
Free
Enterprise
starting at $15,000
per year
Enterprise
Starts at $15,000
per year
Offerings
Pricing Offerings
Datadog
Metabase
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Where Datadog is good: - Real-time Visibility During Incidents: During high-severity incidents, Datadog dashboards, coupled with real-time logging and APM traces, provide immediate insight into system health and enable fast triage. For example, we’ve used trace ID correlation between logs and APM to quickly identify downstream service failures due to network degradation during a major outage. - Service Ownership at Scale: With over 50 engineering teams, providing self-service monitoring is essential. We use Datadog monitors, SLO dashboards, and templates so teams can track their own service health without reinventing the wheel. Tagging and RBAC features help us scope data access appropriately. Where Datadog can improve: While Datadog’s logging capabilities are powerful, storing all application logs in Datadog can become cost-prohibitive at high volumes.
Metabase is an easy tool to use if you are interested in collecting and aggregating data from multiple platforms. It is also easy to set up and start receiving the data results as a report. It is also easy to integrate with other tools that generate visual reports and take the necessary actions based on the data details.
Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
I would appreciate more supportive examples for how to filter and view metrics in the explorer
I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
It is serving us whatever we're looking for, and we've recommended many organizations to implement it if they want better data analytics as it provides better functionality than we will build.
As a negative it gets difficult to get control over data to be fetch initially.
