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
Sentry
Score 8.7 out of 10
N/A
Sentry provides engineering teams with tools to detect and solve user-impacting bugs and other issues.
$26
per month
Totango
Score 7.8 out of 10
N/A
Totango customer success software, now with Catalyst, helps enterprise businesses and cross-functional teams accelerate customer outcomes in productivity, retention, and expansion. Totango and Catalyst will become a unified product, following the merger in February 2024.
N/A
Pricing
Datadog
Sentry
Totango
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
Team
$26
per month
Business
$80
per month
Developer
Free
Enterprise
Contact sales team
No answers on this topic
Offerings
Pricing Offerings
Datadog
Sentry
Totango
Free Trial
Yes
Yes
No
Free/Freemium Version
Yes
Yes
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
Optional
No setup fee
Optional
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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Each package gives teams a 360° customer account profile, customer health scoring, customer journey program templates (SuccessBLOCS), automated workflows (SuccessPlays), email campaigns, self-paced onboarding, and customer support.
We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
I think Datadog and Sentry serve different needs. I like Sentry to keep track of errors on our systems. And then I'll jump into Datadog to investigate those issues.
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered …
ease of use and implementation, other than New Relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
It is cheaper and offers better support for front-end applications for enterprise large environments with more then 30 scrum teams and hundreds of micro frontend applications. The configuration options, both with the agent and from the user interface, are superior to other …
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
Great for standard web application performance monitoring, analytics and error reporting. Shows line level code errors, gives insight into performance issues (plugins, API issues, etc.). Automation and scheduled scanning in production gives client visibility into 'after deployment' value. Also lets a relatively small number of developers keep tabs on a handful of different site/applications without needing a bunch of tools. The UI is pretty complicated and can be overwhelming for new users. Documentation could be better for the learning curve,
for a CSM it´s marvelous, you have in one window everything,the agenda for your day by day work, the workload you have in a day,all the customers database and call history added by tasks and toutch points, the to do thing in each customer you know what to do next, with renewal you hace an digital engadgement with customers inform they need to renew in order to keep using the app.
The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
Great web interface. Lots of data available in a really clean format, with filtering options and more.
Per-user exception tracking. User is complaining about something being broken? Look up their account ID in Sentry and you can see if they've run into any exceptions (with device information included, of course).
Source map uploading. Took a little while to figure this out but now we have our deploy script upload sourcemaps to Sentry on each deployment, meaning we get to see stack traces that aren't obfuscated!
Very generous free tier – 10,000 events per month. We're nowhere near that yet.
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
Integrations -- in my experience, they constantly break and disconnect.
Implementation -- I feel it was a HUGE challenge to set-up our environment. It took over 200 hours and it didn't work.
Communication -- during implementation/onboarding, in my opinion, we were mislead on how to create some of our custom data objects and it ended up being a big waste of time since the approach we were instructed to use ended up being incorrect.
I personally believe Totango is the right Customer Success Tool for me, my team, and my organization. I couldn't find limitations until now, it's capabilities are on point and it's very scalable. of course, transitioning to another tool would mean a lot of hours and training, and would expose risks
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
Its incredibly versatile, but that leads to complexity for the uninitiated, which can be intimidating. Nevertheless its a well polished product, in our case leading to only using it for a focus on frontend is still more cost effective than buying a one-to-rule-them-all tool...
It is easy to use and understand, and simple to follow day to day. Logging notes and tasks is one of the key areas this is utilised along with tracking reports and accessing key data points for conversations with customers which is helpful. Mobile app helps too to access information on the go.
I have yet to experience any downtime with Totango (knock on wood) so reliability has been really top tier since we were onboarded. Given that the support team has been really helpful so far, I can imagine should downtime every be the case, they'll be able to communicate proactively/effectively on the current state of the platform
At times the integration sync can be really slow when it comes to touchpoints. I can't say the same for customer health syncing, but I do tend to notice the lag from email syncing, and in those cases, I will need to refresh the Totango page a couple of times or wait a couple of extra seconds/minutes for it to show up.
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.
I give Totango a support rating of 10 because I can always get support whenever needed. If its a technical issue, I know I can email their support team for help. If it's a more in depth question with respect to our instance of Totango, I can reach out to our CSM and always get help in a very reasonable amount of time. I always look to Totango as the standard when I think of how to best communicate and support our own customers.
Our CSM did a great job of conducting the training so we understand, at the very least, the functionality that is directly relevant to us. This also allowed us to train our own new team mates when onboarding based on the training flow that was first presented to us. This was also conducted as a interactive sessions, as training are notoriously known to be dry
Totango has been easy for our team to integrate most of our new features into, which is great considering we have to factor in the customers' usage of the new features into all of the health and usage metrics we have. It has taken a while to integrate our second product however, which is why I would rank this a 7.
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
It is cheaper and offers better support for front-end applications for enterprise large environments with more then 30 scrum teams and hundreds of micro frontend applications. The configuration options, both with the agent and from the user interface, are superior to other tools, and the documentation is also very easy to use.
Pipedrive is a great CRM for Sales purposes but it doesnt give much tools for CX management. Totango is all the opposite, it is an excellent product for Customer Management . We currently use both platforms integrated with each other and it gives great results to both Sales and Customer Success teams
Information keeps missing and changing in totango . Because of that there is are lot of problems with it. We need to manually keep the backup in an another file. More over if in case we take the backup its so hard to track since its all in numbers. Totango can be much better if the cloud storage is working fine. My company is planning to discontinue due to this factor
