Allstacks vs. Datadog

Allstacks

Datadog

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Allstacks	Score 8.4 out of 10	N/A	Allstacks uses machine learning models to analyze SDLC data for delivery risks and projected outcomes for engineering leaders. The value stream intelligence platform illuminates insights across projects and tools so users can build better processes, create a better culture, and shape better outcomes for a business and its customers. Allstacks gathers and analyzes past work data and behavior from the tools a team is already using, like Jira, GitHub, and Bitbucket. The vendor states…	N/A
Datadog	Score 8.8 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.	$1.27 per month (billed annually) per host

Pricing

Allstacks

Datadog

Editions & Modules

No answers on this topic

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

Offerings

Pricing Offerings
Allstacks	Datadog
Free Trial
Yes	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Optional

Additional Details

—

Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).

More Pricing Information

Pricing Info

Community Pulse
	Allstacks	Datadog
Considered Both Products	Allstacks Verified User Anonymous Chose Allstacks The detailed metrics which are shown when a software is deployed using pipeline is one of the greatest feature which overpowers Gitlab.It has a very simple UI which allows easier creation of pipeline with all the required stages. Incentivized Helpful? Abhishek Nandi Sr. Engineer Chose Allstacks Allstack is good tool to analyse team work and provide report and statistics data to client. Getting started with it and it's been great so far. Have completely satisfied with the accurate and informative insights created by Allstack. The dashboard intuitive informative and … Incentivized Helpful? Kaveen Eashwarage Manager - Special Projects Chose Allstacks The trial period gave us confidence to proceed with Allstacks as we observed all our requirements were available. The support services were on point. Addressed our concerns without delays compared to other vendors. The product has very interactive screens and we felt the users … Incentivized Helpful? Rehan Kanuga Data Analyst Chose Allstacks We combined a lot of tools, customized reports, and excel spreadsheets into a single perspective to demonstrate progress, efficiency, and trends in our delivery operations. Allstacks have all the things compared to any other tool in the market. Incentivized Helpful?	Datadog Verified User Anonymous Chose Datadog Its the Enterprise level decision, definitely usability and features perspective Datadog is much more advanced. Incentivized Helpful? Verified User Anonymous Chose Datadog Datadog is significantly more user-friendly than CloudWatch.In terms of capabilities, they're similar. I would not call either of the best-in-class for any single feature, but Datadog feels more polished and ready to use overall.Multi-cloud monitoring is a clear differentiator … Incentivized Helpful? GP Gilan Pharmacy System Engineer Chose Datadog Datadog has reliable monitoring with deep insights and straightforward integrations. Incentivized Helpful? VS Vipul Singh Senior Software Engineer Chose Datadog Datadog dashboard is very intuitive and offer seamless integration into multi-cloud platform compared to its competitor. Incentivized Helpful? Verified User Anonymous Chose Datadog I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier … Incentivized Helpful? Verified User Anonymous Chose Datadog Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without … Incentivized Helpful? Jeffrey van Santen Sr SWE Chose Datadog 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 … Incentivized Helpful? Verified User Anonymous Chose Datadog Kibana Datadog … because within our usecase we have all the events in kibana but sampled traces in Datadog … but if we had all the traces it would have been much more useful Incentivized Helpful? Verified User Anonymous Chose Datadog 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. Incentivized Helpful? Verified User Anonymous Chose Datadog We have utilized a SIEM in the past, but it was a very manual process to set it up. Content packs make it very easy to set up and get alerting instantly. Datadog takes out a lot of headaches for our security team, since they no longer have to create custom alerts for every … Incentivized Helpful? Vinit Parakh Sr. DevOps Engineer Chose Datadog First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide … Incentivized Helpful? Verified User Anonymous Chose Datadog Wavefront seems to be better at observability and allows more custom query language. Incentivized Helpful? Joe Cardali Head of Engineering Chose Datadog Much more modern and advanced Incentivized Helpful? Verified User Anonymous Chose Datadog All other tools dont have all the features which Datadog provides. Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. … Incentivized Helpful? Verified User Anonymous Chose Datadog UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's … Incentivized Helpful? SC sai charan Software Engineer Chose Datadog we primarily use Kubernetes, and Prometheus is great for collecting time series metrics, especially in Kubernetes. and Grafana is used for dashboards. As these are open source, we host them and manage them internally. We choose Datadog because of its logs, traces, and … Incentivized Helpful? Verified User Anonymous Chose Datadog I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause … Incentivized Helpful? AA Atmakuri Abhinav Software Engineer Chose Datadog 1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog 2. Faster to set up Datadog instead of Grafana 3. Alerting in Datadog feels much easier thanin Grafana. Incentivized Helpful? Verified User Anonymous Chose Datadog Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights. Incentivized Helpful? AJ Alex Jones Energy Engineer Chose Datadog I have tried and used a number of other tools similar to Datadog such as New Relic, Splunk, Prometheus, AWS cloudwatch and Dynatrace. New Relic and Splunk provide excellent monitoring and analytics, but Datadog’s consolidated dashboards and ease of setup combined with a wealth … Incentivized Helpful? Verified User Anonymous Chose Datadog 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. Incentivized Helpful? Fernando Battistella DevOps Engineer Chose Datadog 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. Incentivized Helpful? TB Todd Burkholder Sr. Software Development Manager Chose Datadog We moved to Datadog from Microsoft's Application Insights. Application Insights did a fine job in allowing us to view our application data, but it lacked the holistic view of all our infrastructure and other platforms that could not use Application Insights. Being able to … Incentivized Helpful? Verified User Anonymous Chose Datadog In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, … Incentivized Helpful? Verified User Anonymous Chose Datadog Kibana and New Relic Incentivized Helpful?

Best Alternatives
	Allstacks	Datadog
Small Businesses	GitLab Score 8.8 out of 10	Amazon CloudWatch Score 7.8 out of 10
Medium-sized Companies	GitLab Score 8.8 out of 10	ManageEngine Site24x7 Score 10.0 out of 10
Enterprises	GitLab Score 8.8 out of 10	ManageEngine Site24x7 Score 10.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Allstacks	Datadog
Likelihood to Recommend	8.4 (0 ratings)	8.9 (0 ratings)
Likelihood to Renew	- (0 ratings)	1.0 (0 ratings)
Usability	- (0 ratings)	8.7 (0 ratings)
Support Rating	- (0 ratings)	5.0 (0 ratings)
Implementation Rating	- (0 ratings)	1.0 (0 ratings)

User Testimonials
	Allstacks	Datadog
Likelihood to Recommend	Our teams are now well equipped to communicate to the management with more transparency and clarity. All teams have improved their conversations. Managers are able to monitor the teams real time KPIs and identify any concerns immediately. We have been able to avoid many timeline delays. we do not miss any areas in our processes as we did before. The "helicopter" view on the entire process is highly valued. Incentivized Kaveen Eashwarage Manager - Special Projects Read full review	Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well. Incentivized Verified User Anonymous Read full review
Pros	Team efficiency matrix tracking. Track the progress of test cases. Allocate excess resources if needed. Incentivized Sachin Bargaje Werkstudent Technical Project Management Read full review	Create Dashboards as per application, environments, and Custom metrics in one panel. Log aggregation, one-stop Application monitoring tools for the whole infrastructure. Playbooks, SLA definition, success and error quotas, request visualizations. DB monitoring, Serverless stack monitoring. Alerting of Production incidents so we can quickly resolve the issues on time. Incentivized Aman Makwana DevOps Engineer Read full review
Cons	UI can be rigid but is constantly improving User Management is the biggest opportunity for improvement Incentivized Rehan Kanuga Data Analyst Read full review	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 Incentivized Verified User Anonymous Read full review
Likelihood to Renew	No answers on this topic	Definitely will not revisit after our issues and, in my opinion, poor support. Incentivized Verified User Anonymous Read full review
Usability	No answers on this topic	There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool. Incentivized Verified User Anonymous Read full review
Support Rating	No answers on this topic	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. Incentivized Verified User Anonymous Read full review
Implementation Rating	No answers on this topic	Documentation was difficult to work through, rollout was catastrophic (completely outage) Incentivized Verified User Anonymous Read full review
Alternatives Considered	The detailed metrics which are shown when a software is deployed using pipeline is one of the greatest feature which overpowers GitLab.It has a very simple UI which allows easier creation of pipeline with all the required stages. Verified User Anonymous Read full review	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 around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog. Incentivized Jeffrey van Santen Sr SWE Read full review
Return on Investment	It's painful that jira items don't automatically get pulled in to allstacks Would be great to have the data refresh a little more frequent Incentivized Abhishek Nandi Sr. Engineer Read full review	Saved us (time & money) from developing our own monitoring utilities that would pale in comparison Alerts allow us to remedy issues before our customers even know about them Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point. Incentivized Verified User Anonymous Read full review
ScreenShots	Allstacks Screenshots	Datadog Screenshots