Bigpanda聽vs聽Datadog

Bigpanda
Bigpanda

12
30
+ 1
16
Datadog
Datadog

3.8K
3.2K
+ 1
723
Add tool

Bigpanda vs Datadog: What are the differences?

What is Bigpanda? The cure for alert fatigue. Bigpanda helps you manage and respond to ops incidents faster. All your alerts: organized, assignable, trackable, snoozeable, and updated in real-time.

What is 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!.

Bigpanda can be classified as a tool in the "Monitoring Aggregation" category, while Datadog is grouped under "Performance Monitoring".

Some of the features offered by Bigpanda are:

  • Issue tracking for ops
  • Reduce noisy alerts
  • Easy collaboration

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

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

"User interface, easy setup, analytics, integrations" is the top reason why over 6 developers like Bigpanda, while over 118 developers mention "Monitoring for many apps (databases, web servers, etc)" as the leading cause for choosing Datadog.

Decisions about Bigpanda and Datadog
Attila Fulop
Attila Fulop
Team Leader at Artkonekt | 3 upvotes 3.8K views

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

See more
Benoit Larroque
Benoit Larroque
Principal Engineer at Sqreen | 2 upvotes 410 views

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

See more
- No public GitHub repository available -
- No public GitHub repository available -

What is Bigpanda?

Bigpanda helps you manage and respond to ops incidents faster. All your alerts: organized, assignable, trackable, snoozeable, and updated in real-time.

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!
Why do developers choose Bigpanda?
Why do developers choose Datadog?

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

    Be the first to leave a con
    What companies use Bigpanda?
    What companies use Datadog?

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

    What tools integrate with Bigpanda?
    What tools integrate with Datadog?

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

    What are some alternatives to Bigpanda and Datadog?
    PagerDuty
    PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    OpsGenie
    OpsGenie is a cloud-based service for dev & ops teams, providing reliable alerts, on-call schedule management, and escalations. OpsGenie integrates with monitoring tools & services and ensures that the right people are at the right time.
    VictorOps
    VictorOps is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one.
    Healthchecks.io
    Healthchecks.io is a monitoring service for your cron jobs, background services and scheduled tasks. It works by listening for HTTP "pings" from your services. You can set up various alert methods: email, Slack, Telegram, PagerDuty, etc.
    See all alternatives
    Interest over time
    Reviews of Bigpanda and Datadog
    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 ofBigpandaBigpanda

    Easily the #1 tool for event correlation and incident management in IT Ops world today.

    Scale up, scale out and BigPanda still has your back. Easiest tool to get up and going, their documentation allowed me to integrate my own custom tools in a matter of hours.

    Support follows up in real time and has gone out of their way to solve my correlation problems and drive real value inside our organization.

    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 Bigpanda and Datadog
    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.

    How much does Bigpanda cost?
    How much does Datadog cost?
    Pricing unavailable
    News about Bigpanda
    More news