Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.6 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.
$18
per month per host
ignio AIOps
Score 8.1 out of 10
N/A
ignio AIOps, from Digitate in Santa Clara, is a solution designed to improve business agility by creating a unified view of the IT estate, connecting business functions to applications and infrastructure. This is combined with behavior profile of systems and applications that is continuously learnt using this blueprint. ignio aims to improve the transparency of complex Enterprise IT landscapes.N/A
Pricing
Datadogignio AIOps
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
No answers on this topic
Offerings
Pricing Offerings
Datadogignio AIOps
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
Datadogignio AIOps
Best Alternatives
Datadogignio AIOps
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10

No answers on this topic

Medium-sized Companies
Sumo Logic
Sumo Logic
Score 8.9 out of 10
Sumo Logic
Sumo Logic
Score 8.9 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.1 out of 10
Sumo Logic
Sumo Logic
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Datadogignio AIOps
Likelihood to Recommend
9.4
(35 ratings)
9.5
(13 ratings)
Likelihood to Renew
-
(0 ratings)
9.6
(4 ratings)
Usability
7.6
(14 ratings)
9.0
(12 ratings)
Availability
-
(0 ratings)
9.2
(3 ratings)
Performance
-
(0 ratings)
8.9
(3 ratings)
Support Rating
8.9
(6 ratings)
9.3
(12 ratings)
In-Person Training
-
(0 ratings)
9.1
(1 ratings)
Online Training
-
(0 ratings)
8.2
(2 ratings)
Implementation Rating
-
(0 ratings)
9.6
(4 ratings)
Configurability
-
(0 ratings)
9.4
(3 ratings)
Ease of integration
-
(0 ratings)
8.9
(3 ratings)
Product Scalability
-
(0 ratings)
9.2
(3 ratings)
Vendor post-sale
-
(0 ratings)
9.4
(3 ratings)
Vendor pre-sale
-
(0 ratings)
7.9
(3 ratings)
User Testimonials
Datadogignio AIOps
Likelihood to Recommend
Datadog
Where Datadog is good: - Real-time Visibility During Incidents: During high-severity incidents, Datadog dashboards, coupled with real-time logging and APM traces, provide immediate insight into system health and enable fast triage. For example, we’ve used trace ID correlation between logs and APM to quickly identify downstream service failures due to network degradation during a major outage. - Service Ownership at Scale: With over 50 engineering teams, providing self-service monitoring is essential. We use Datadog monitors, SLO dashboards, and templates so teams can track their own service health without reinventing the wheel. Tagging and RBAC features help us scope data access appropriately. Where Datadog can improve: While Datadog’s logging capabilities are powerful, storing all application logs in Datadog can become cost-prohibitive at high volumes.
Read full review
Digitate
It's good for issue resolution, user access request automation, standard report generation, health checks, executing self-healing as configured in the attributes. Currently not good at real-time monitoring to trigger an action. Health checks have to be on a scheduled basis.
Read full review
Pros
Datadog
  • 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.
Read full review
Digitate
  • ignio handles 100+ use cases covering the entire organization including applications and infrastructure.
  • Centralize the dashboard to view and executed the health of systems in our environment.
  • It handles CA services desk Incidents and requests. Using automated tools with power shell scripts.
  • ignio event management helps the organization to manage the alerts well and make an informed decision.
Read full review
Cons
Datadog
  • 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
Read full review
Digitate
  • There is a lot more the desktop tool can do. For example, we need to apply an upgrade to get the tool to talk to our infrastructure while employees are working from home. The tool was initially installed with the assumption that the desktops would be in UserLand. Instead after COVID-19 the desktop/laptops have been used for over a year on people's home networks. As of right now, we have to sync when the devices are connected to VPN. Moving forward with the upgrade, we will be getting this data over TLS when they are connected to the untrusted networks.
  • The concept of ignio AlOps requires OCM efforts within most operational teams. This isn't necessarily the fault of the tool itself, but when implementing ignio, or any AIOps tool, the team will get a lot of pushback as an outside team is centralizing the operational improvements. The tool should have a centralized intake process that will allow the collection, ranking, and management of automation opportunities. ignio AlOps should then simulate the proposed efficiencies from implementing something within the backlog. Right now a lot of local teams are having a hard time getting on the same page as the enterprise teams, and a common methodology for prioritizing (even if overly simplistic) would go a long way to enterprise planning.
  • These tools are very new and things get added to them all the time. There should be a way for the product's stakeholders and process owners to understand the additional value ignio AlOps is gaining over time.
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Likelihood to Renew
Datadog
No answers on this topic
Digitate
It is a very good product and it helps our organization.
Read full review
Usability
Datadog
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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Digitate
ignio AIOps version upgrades were a heavy lift. Having to learn a new language versus an industry standard language took time. More consideration on overall internal long-term support needs to be determined.
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Reliability and Availability
Datadog
No answers on this topic
Digitate
It was up than Dynatrace
Read full review
Performance
Datadog
No answers on this topic
Digitate
We had performance issues in older version butterfly. But the new version cheetah is simply amazing
Read full review
Support Rating
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.
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Digitate
We have built a healthy relationship with the vendor support team throughout the implementation phase, all incidents raised were resolved within the SLA without a fail
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In-Person Training
Datadog
No answers on this topic
Digitate
Implementation team has provided necessary training & enablement.
Read full review
Online Training
Datadog
No answers on this topic
Digitate
Online training materials are shared by the implementation team and it was good.
Read full review
Implementation Rating
Datadog
No answers on this topic
Digitate
I am happy with the way team has implemented and shared the product for our organization. However, would like to see it get extended to the other line of business too.
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Alternatives Considered
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.
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Digitate
Self HEAL OOB Capabilites
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Scalability
Datadog
No answers on this topic
Digitate
Quite Scalable!
Read full review
Return on Investment
Datadog
  • 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.
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Digitate
  • ignio has had a positive impact on our organization by saving 7,000+ hours within Operations and automatically resolving 84% of our service requests.
  • ignio has increased our alert coverage by over 60%.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.