Datadog聽vs聽Loggly

Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Datadog
Datadog

2.1K
1.5K
+ 1
696
Loggly
Loggly

208
114
+ 1
167
Add tool

Datadog vs Loggly: What are the differences?

Datadog: Unify logs, metrics, and traces from across your distributed infrastructure. Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!; Loggly: Log Management, Simplified in the Cloud. The world's most popular cloud-based log management service delivers application intelligence.

Datadog and Loggly are primarily classified as "Performance Monitoring" and "Log Management" tools respectively.

Some of the features offered by Datadog are:

  • 14-day Free Trial for an unlimited number of hosts
  • 200+ turn-key integrations for data aggregation
  • Clean graphs of StatsD and other integrations

On the other hand, Loggly provides the following key features:

  • See what your application is doing during development
  • Catch exceptions and track execution flow
  • Graph and report on the number of errors generated

"Monitoring for many apps (databases, web servers, etc)" is the top reason why over 118 developers like Datadog, while over 35 developers mention "Centralized log management" as the leading cause for choosing Loggly.

According to the StackShare community, Datadog has a broader approval, being mentioned in 532 company stacks & 213 developers stacks; compared to Loggly, which is listed in 95 company stacks and 15 developer stacks.

- No public GitHub repository available -
- No public GitHub repository available -

What is Datadog?

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

What is Loggly?

The world's most popular cloud-based log management service delivers application intelligence.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Datadog?
Why do developers choose Loggly?

Sign up to add, upvote and see more prosMake informed product decisions

What companies use Datadog?
What companies use Loggly?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Datadog?
What tools integrate with Loggly?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to Datadog and Loggly?
New Relic
New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
See all alternatives
Decisions about Datadog and Loggly
Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter | 3 upvotes 60.6K views
atStessaStessa
Datadog
Datadog
New Relic
New Relic
#APM

Which #APM / #Infrastructure #Monitoring solution to use?

The 2 major players in that space are New Relic and Datadog Both are very comparable in terms of pricing, capabilities (Datadog recently introduced APM as well).

In our use case, keeping the number of tools minimal was a major selection criteria.

As we were already using #NewRelic, my recommendation was to move to the pro tier so we would benefit from advanced APM features, synthetics, mobile & infrastructure monitoring. And gain 360 degree view of our infrastructure.

Few things I liked about New Relic: - Mobile App and push notificatin - Ease of setting up new alerts - Being notified via email and push notifications without requiring another alerting 3rd party solution

I've certainly seen use cases where NewRelic can also be used as an input data source for Datadog. Therefore depending on your use case, it might also be worth evaluating a joint usage of both solutions.

See more
Robert Zuber
Robert Zuber
CTO at CircleCI | 8 upvotes 110.2K views
atCircleCICircleCI
Looker
Looker
PostgreSQL
PostgreSQL
Amplitude
Amplitude
Segment
Segment
Rollbar
Rollbar
Honeycomb
Honeycomb
PagerDuty
PagerDuty
Datadog
Datadog

Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

See more
Interest over time
Reviews of Datadog and Loggly
Review ofDatadogDatadog

Background

We're a real-time financial services messaging company, so being able to monitor our servers and applications in real-time is important to us. We also like a good deal, so $15/server seemed a bargain.

What were we looking for?

We wanted to monitor our MS infrastructure (servers, SQL) and apps (C#) to understand performance issues and be able to rectify. We also want to be able to do long-term trending. And we wanted to go from nothing to live in a short time.

Experience

Installing the Datadog agent on the servers was a breeze and enabling the integrations for SQL and Windows trivial.

Using the StatsD based API was also very easy - no worrying about JSON or UDP calls. The ability to add tags to all metrics is also a key benefit. We run multiple (100+) instances of a single application and being able to distinguish events from each one via tagging, or to see aggregates, is extremely useful.

In all it took 2 days R&D to instrument our key applications sufficiently for production deployment. Deploying the agent to our production servers took 30 mins, giving our Ops team complete visibility for the 1st time.

What have we learned

Since we've been live Datadog has given us numerous insights into the way our system behaves, from uneven server loadings and sporadic memory usage to performance tuning a key application that resulted in a 50% increase in throughput. Knowing what's taking the time has been a boon.

Continuous evolution

The other nice surprise has been the evolving nature of Datadog. It seems like every couple of weeks there's a new feature on the site.

Other points

  • I like the transparent pricing. Services that won't show me the price without having to talk to a sales person are really annoying.
  • Support has been good. We've contacted them several times with questions and always had a quick response (time zone considered...we're in London) and a helpful answer.

So What's bad?

Probably the weakest aspect at the moment is the long term trending of data. Whilst you can wind the time bar back to see what happened last week you can't ask questions like "show me the peak period each day for the last x months". The "get data" API is also fairly weak. Neither are concerns at the moment, and I'm sure they're on the to-do list.

Review ofDatadogDatadog

I've been a systems administrator most of my career. Everywhere I went, I'd have to rebuild the same monitoring + graphing system. And then make sure that every machine wrote to that system and every application handed up the proper metrics through whatever mechanism seemed good at the time.

Then, as CTO of SimpleReach, single-handedly managing over 200 servers in addition to everything else, I found Datadog. We were already using statsd to instrument our applications, now it was just a matter of getting that data to Datadog. We use Chef, so I installed the Datadog agent on every machine in about 10 minutes and we were up and running.

The best part was that we had a deploy problem the next day with one of our main applications and troubleshooting took minutes instead of hours (and Datadog immediately paid for itself). Now no new features go out without instrumentation and no machine gets created without being monitored.

Datadog just scales with us. Great service and I highly recommend it to anyone not looking to reinvent the wheel with monitoring and instrumentation.

Review ofDatadogDatadog

Datadog makes running a service with 800,000 unique users a month possible as a single developer/maintainer. I bought a separate monitor just to keep my datadog dashboards always visible and rely on triggers to keep watch over 20+ servers.

Highly recommended.

Review ofDatadogDatadog

We use datadog to monitor our servers and some application metrics. Easy to get started and scale to many servers. Datadog support engineers are always quick to respond to bugs and other challenges.

How developers use Datadog and Loggly
Avatar of DigitalPermits
DigitalPermits uses DatadogDatadog

We just started looking into Datadog, but from what we see, it's like New Relic meets Loggly. It's really easy to plugin different services (like the one on this list) and get detailed analysis of what is happening on your servers and services. It makes tracking down sparse and difficult to understand problems possible.

Avatar of Sail Tactics
Sail Tactics uses DatadogDatadog

Monitoring day-to-day operations of multiple high-performance computing assets distributed across several networks. Monitoring vendor provided data and setting up alerts when things do not show up on time.

Avatar of AngeloR
AngeloR uses DatadogDatadog

Datadog was used as an agent for monitoring and as for the statsd daemon included. This way we are able to have automated system stats and include whatever other metrics we want to track.

Avatar of Dynamictivity
Dynamictivity uses DatadogDatadog

Datadog is used because it has a great free tier and it provides us with great insights and integrations into our infrastructure and tools.

Avatar of Flux Work
Flux Work uses DatadogDatadog

Powerful all-in-one monitoring solution as a service. Good integration with AWS. Very affordable price for small-scale startups.

Avatar of DigitalPermits
DigitalPermits uses LogglyLoggly

We log things of importance to loggly. It's a nice one-stop place to search into errors, exceptions, and expectations.

Avatar of Bringhub
Bringhub uses LogglyLoggly

We're a bunch of Loggly fanboys&fangirls here... great tool that just works.

How much does Datadog cost?
How much does Loggly cost?