Apache Log4j vs. Datadog

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Log4j
Score 8.0 out of 10
N/A
Log4j is a Java-based logging utility from the Apache Foundation, available free and open source.N/A
Datadog
Score 8.5 out of 10
N/A
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.
$0
Up to 5 hosts
Pricing
Apache Log4jDatadog
Editions & Modules
No answers on this topic
Free
$0
Up to 5 hosts
Log Management
$1.27
Per Million Log Events
Standard
$15/host
Up to 500 hosts
Infrastructure
$15.00
Per Host Per Month
APM
$31.00
Per Host Per Month
Enterprise
Custom
500+ hosts
Offerings
Pricing Offerings
Log4jDatadog
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Apache Log4jDatadog
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Apache Log4jDatadog
Small Businesses
SolarWinds Papertrail
SolarWinds Papertrail
Score 8.8 out of 10
InfluxDB
InfluxDB
Score 8.5 out of 10
Medium-sized Companies
SolarWinds Papertrail
SolarWinds Papertrail
Score 8.8 out of 10
IBM Instana
IBM Instana
Score 8.9 out of 10
Enterprises
Splunk Log Observer
Splunk Log Observer
Score 8.6 out of 10
GitLab
GitLab
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache Log4jDatadog
Likelihood to Recommend
8.5
(2 ratings)
9.1
(22 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
-
(0 ratings)
8.9
(6 ratings)
User Testimonials
Apache Log4jDatadog
Likelihood to Recommend
Apache
There is multiple reasons. All types are logging messages support not only string msg. We can use parametrized variables for logging Support advance filter for logging like (Data, Markers, Regular Expression) Support Plugin Architecture (We just use the dependency and Layout configuration with minimal config, and this will start to work) Integration support with application server Could enable.
Read full review
Datadog
DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.
Read full review
Pros
Apache
  • Integration with java.
  • Configure logging levels.
  • Customize logging contents.
Read full review
Datadog
  • APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
  • Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
  • Lightweight agent on hosts
Read full review
Cons
Apache
  • Fixed the vulnerability which is reported which affect many big brand.
  • There should be security check to check all vulnerability.
Read full review
Datadog
  • We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
  • Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
  • I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.
Read full review
Usability
Apache
No answers on this topic
Datadog
The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.
Read full review
Support Rating
Apache
No answers on this topic
Datadog
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.
Read full review
Alternatives Considered
Apache
The ability to customize logging levels and manage log files is superior to other products we have looked at; due to this we selected to go with log4j.
Read full review
Datadog
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.
Read full review
Return on Investment
Apache
  • Good logging tools we can integrate with minimal resource consumption.
  • Ease of understanding.
  • Plugin play component Architecture.
  • Advance filter support can be used to filter all types of logs and events, which can be further analyzed.
Read full review
Datadog
  • Visibility into website issues and performance problems has improved our company communication.
  • Handling and detecting site issues faster has improved customer satisfaction and retention.
  • Configuration of the Datadog site can take a bit of time and we lost a bit of developer time during that process.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of Out-of-the-box and easily customizable monitoring dashboards.Screenshot of Datadog is built to give visibility across teams. You can discuss issues in-context with production data, annotate changes and notify your team, see who responded to that alert before, and remember what was done to fix it.Screenshot of Datadog seamlessly unifies traces, metrics, and logs—the three pillars of observability.Screenshot of Collect monitoring data from across your entire stack with Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map decomposes your application into all its component services and draws the observed dependencies between these services in real timeScreenshot of Centralize log data from any source.