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
IDERA SQL Diagnostic Manager
Score 8.0 out of 10
N/A
SQL Diagnostic Manager for Microsoft SQL Server helps database administrators to find and fix Microsoft SQL Server performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides effective scalability, advanced SQL query analysis and optimization, prescriptive analysis with corrective SQL scripts, powerful automated alert responses, broad PowerShell integration, complete customization, and extensive support for current and legacy Microsoft SQL Server and…
$1,996
per instance with first year maintenance included
Pricing
Datadog
IDERA SQL Diagnostic Manager
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
Standard via eCommerce
1,996.00
per instance with first year maintenance included
Offerings
Pricing Offerings
Datadog
IDERA SQL Diagnostic Manager
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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, …
IDERA SQL Diagnostic Manager for SQL Server is an excellent tool, however I think Solarwinds Database Perfromance Analyzer is a slightly stronger more well rounded product
IDERA SQL Diagnostic Manager for SQL, Redgate SQL, and MonitorLogicMonitor are similar products to each other. We decided on IDERA SQL Diagnostic Manager for SQL because our experience with locating heavy queries has been very good and it provides real-time monitoring of all …
SQL Server [Business Intelligence] Manager works well with Microsoft products. It has several advanced features along with dashboards and alerts that can be configured to user's need.
All the toolsets we looked at have the same basic feature sets. We felt like IDERA SQL Diagnostic Manager for SQL Server had more features (SQL Doctor features) and better historical features. More toolsets now have a lot of these features, but for eight years, IDERA SQL …
SQL Server Business Intelligence Manager does what SQL Server Management Studio should already do natively. So it actually fills up important gaps Microsoft left in its product.
We compared SQL Server Business Intelligence Manager to our current tool Solarwinds Database Performance Analyzer. Where Solarwinds was deficient, SQL BI manager filled the gap. At the end of the day they were both different tools with different purposes so we concluded it was …
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.
If you have several SQL servers and don't have a lot of time or resources to constantly monitor them, SQLdm will be very helpful. For one or two servers, it might be overkill. All of our servers are virtual, so having a tool that can monitor host metrics as well as guest metrics is a plus as well.
SQLdm does a good job of providing information at a high level, but also allows me to drill down to specific queries and events if needed. I don't always need to sift through tons of details to get the information I need. It also gives a very wide range of information from SQL specific metrics, to OS metrics, to VM metrics, all the way up to host server metrics.
I like how the alert and notification system can be customized. For example, if you know a certain server regularly has long-running queries, you can adjust the alert to not fire unless a query has been running for 30 minutes while the rest of the servers fire after 30 seconds. That is very helpful in not being bombarded at dinner with alerts from a server similar to, "I've been at 90% cpu for 26 milliseconds!!!!!!!...and now it's back down to 30%" Good information to know, but not something you need to literally lose sleep over.
I like how you can configure different servers to be monitored differently. For example, you can have a group of servers called DEVELOPMENT that you can turn on heavier monitoring on so you can test how changes in applications might affect the SQL environment, but in the PRODUCTION group, you may only want to enable the heavier analysis and logging when performance issues are actively being reported.
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
Windows client has some issues. When you have small time intervals for your data collection, it can cause the client to become unresponsive and require you to restart it.
It takes more time to get the web client running than it does to get the windows client running.
The visualizations have been the same for the last eight years--could use a little bit of a refresh.
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.
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.
SQL Server [Business Intelligence] Manager works well with Microsoft products. It has several advanced features along with dashboards and alerts that can be configured to user's need.