Apica is an observability cost optimization provider helping IT teams gain complete control over their telemetry data economics. Apica Ascent processes all observability data types including metrics, logs, traces, and events while optimizing observability costs.
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
Apica
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
Apica
Datadog
Free Trial
No
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).
I have used Microfocus Loadrunner (formerly HP Vugen/BSM), Dynatrace Synthetic, and Gomez. Apica Synthetic has a good price point for its functionality. Dynatrace and Microfocus are expensive. Dynatrace and Gomez are easier to use than Apica Synthetic.
Apica Synthetic is more efficient than other competitors; our main priority is gain in the effort, time, and customer satisfaction, which Apica Synthetic definitely guarantees. Real-time alerts are just perfect which is exactly what we need, I can't say the same about other …
We actually preferred IP HostMonitor over Apica Synthetic, as it was more stable and uses less real estate. IP HostMonitor does not support true load simulation, which we miss from the Apica Synthetic trials.
We were using different monitoring tools for different requirements (e.g.,Nagios and CheckMK for infrastructure issues) and we were in need of a tool for service and API monitoring for which we were using ThousandEye. But alerts were 60-70% valid irrespective of conditions like …
Apica Synthetic is perfect for monitoring our products that customers use since we create scenarios and API calls that reflect how the customer uses our products. However, for server monitoring and monitoring internal products, both Zabbix and Prometheus have the upper hand. …
I have never used other products that would stack up to what Apica Synthetic does for our company; other software that we use might help with giving different information but would not come close to the mix of monitoring and data we get from Apica Synthetic. The closest product …
Seemed to work well, but we didn't want to do a long renewal. Other products are maturing and better integrated with our systems. It works for now, but we're looking to replace it.
Update: New Relic has caught up with Apica and seems to integrate better with the other aspects of …
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 …
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 …
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 …
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 …
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
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.
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 …
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 …
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. …
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 …
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 …
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 …
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.
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.
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 …
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.
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.
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 …
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, …
As I use this for only my area, it is very well suited to what I need it to do. Apica Synthetic monitors two different web applications in a time interval that is easily customizable for uptime and latency. These are critical indicators for a cloud-based point-of-sale system. We need solid uptime and limited latency across the enterprise.
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.
It's very clunky. Infrastructure is large and very difficult to upgrade.
SaaS and On-premise versions are different. There is an LDAP integration but users can only be assigned to one group (i.e. department). If you are in 2 departments, you need 2 separate logins.
Update: they now offer federated logins
It filled a gap in monitoring for us, but we're looking to move on.
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
We trust the results that Apica Synthetic has achieved. Real-time alerting is critical to our clients and with limited resources, we can't handle many false positives; Apica Synthetic is the only solution that provides both of those features.
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.
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.
Apica Synthetic is more efficient than other competitors; our main priority is gain in the effort, time, and customer satisfaction, which Apica Synthetic definitely guarantees. Real-time alerts are just perfect which is exactly what we need, I can't say the same about other tools that may be less expensive but also less efficient.
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.
My department is not charged for Apica Synthetic so no ROI, but from a customer service perspective, we can react to an outage and repair it faster than our customers can report the outage.
Our vendor's own monitoring tools are not as accurate nor as timely as ours. They rely on us telling them, from Apica Synthetic, that they have an issue.