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
SolarWinds SQL Sentry
Score 10.0 out of 10
N/A
SolarWinds SQL Sentry is designed to help data professionals optimize SQL Server database performance
in physical, virtual, and cloud environments. SQL Sentry delivers metrics to help users find and fix database performance problems
and provides scalability, boasting demonstrated success monitoring 800+ SQL
Server instances with one monitoring database. With
SQL Sentry, the user can monitor:
SQL Server
Azure SQL
Database
SQL Server
Analysis…
$0
Free
Pricing
Datadog
SolarWinds SQL Sentry
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
Plan Explorer (SQL Server Query Tuning)
$0
Free
SQL Sentry for Azure SQL Database
$161
Per year per database (annual subscription)
SQL Sentry
1,450
Per year per instance (annual subscription)
Offerings
Pricing Offerings
Datadog
SolarWinds SQL Sentry
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, …
[SolarWinds] SQL Sentry was tested against multiple monitoring systems, but [it] topped them all as [it] was a monitoring tool that was created to pinpoint SQL Server and nothing else. It has features that a lot of other monitoring systems don't have and are not even developing …
I wasn't involved in the decision-making for SQL Sentry, but having previously used PlanExplorer, I felt confident that SQL Sentry would be a good fit to monitor our Microsoft SQL Instances. I would recommend this platform to others that have Microsoft SQL that is in need of …
We chose SolarWinds SQL Sentry because it met more of our requirements than any other single tool. Proactive monitoring, quick collection times (every few seconds vs minutes), flexible custom alerting as well as in-depth data for performance analysis (Top SQL is by far my …
Detailed presentation of problems with details and graphs. This was lacking in the profiler. SQL Server has its canned reports, but not as useful as Sentry One. More variety of problem detection. For all Servers at one place. All affected servers in red are shown a one stop …
I like SQL Sentry the best. Foglight was a long time ago and way more comprehensive tool than I needed at the time. Diagnostic Manager has some good features but I had some capacity and performance issues at times with it. SQL Sentry has been consistent and effective at …
It has been a while now since using the Idera product, but SQL Sentry seems to provide greater configuration and alerting options. SQL Sentry offers 12 different options, all of which are configurable individually for each alert. It can be done at the global level as well as by …
AppDynamics strength lies in showing how the tiers of an application are performing. It shows some things that are good at a macro level for SQL, but it lacks the ability to dig into root cause as well as SQL Sentry. Spotlight and foglight are also good tools in the space. …
SQL Sentry is affordable and allows for more custom fields and criteria to be pushed into the program for monitoring. Azure wasn't effective for the size of our shop currently.
With 100+ production servers to monitor, cost was the main reason we were able to switch from Idera to SentryOne. Both tools had comparable features but I was able to get more from SentryOne becasue sales reps were willing to work with us and make it a more cost effective …
The SQL Sentry sales reps and technical employees have been wonderful to work with. They have taken the extra time to educate us on the product, and they have made sure we are using it to its fullest potential. I have had a wonderful experience as a user of this tool. …
SQL Sentry provided 24/7 indepth visibility and on a feature to feature comparison, simply outweighted other options available. The expertise at SentryOne is incredible, and it is reflected in their passion for the product, and the development and constant engagement with the …
Every resource has a different way of allowing users to access performance data and events, I simply think that SQL Sentry does it the best by displaying a dashboard that allows seeing the data in angles that no other has.
Both tools cover what you'd expect from an enterprise-grade SQL monitoring tool. Performance monitoring, alerting and diagnostics on both the tools are excellent and I cannot fault either on technical capabilities and feature offerings.
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.
Of all the tools I've used, SolarWinds SQL Sentry's Top Query has been the single most helpful tool in helping me identify which queries are putting a load on our servers and at what times. This greatly simplifies my job in prioritizing tuning. Having Plan Explorer directly linked to the tool is icing on the cake.
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
Absolutely. SQL Sentry is an absolute must have for any company with a SQL Server estate. It provides a force multiplier to effectively manage SQL Server, and the feature sets are second to none. The support and expertise at SentryOne is incredible. They are very supportive of both the platform users and helping your business with the product
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.
I don't know how we survived before without this tool, the added value that you get from it to do deep dive performance analysis, reactive problem solving and proactive monitoring and alerting is limitless. We have only scratched the surface of what we can do with this tool at my company. The support and ROI that SentryOne provide is exceptional and one of my favourite vendors to deal with.
The system is working perfectly in capturing data, but we do experience issues with SQL Timeout when viewing results in the remote clients. This may be due to the fact that our monitoring service is consuming most of the CPU, and it is the same server that is hosting the SQL Repository. We could probably fix the issue by separating the SQL instance from the monitoring service.
In most cases the pages load very quickly. In our particular case, we need to do some movement of services to separate our monitoring service to separate infrastructure from the repository. When we first started with SQL Sentry on 5 licenses, we did not have any issues. Since we have now grown that to 25, we are experiencing some challenges. We do not believe this to be a tool problem
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.
The main platform is very well supported. Requests for help with customizing alerts and monitors have been rapidly and thoroughly responded to. Our use of the chain feature seems to be out of the ordinary and our defect reports there while understood and taken seriously, tend to be lower priority than defects in the main platform. They will work diligently to give us a workaround but correction in the standard release is a little slower in the chain feature.
Was suggested that we install the process monitors on a dev or qa database server, but we found it more useful to create an IT db server and put it there (along with a few other apps that we use for monitoring).
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 Sentry has a LOT more information in it than the SolarWinds DPA product. Its reporting tool isn't as good either. The IDERA product isn't as reliable as SQL Sentry and its reporting isn't nearly as good. The IDERA UI is a resource hog and isn't as intuitive.
We are running 25 instances through a single monitoring service and it is able to keep up. We are finding that this many instances in our environment is about as many as can be handled. We will need to deploy additional monitoring services. Luckily, there is no additional licensing costs to deploy additional monitoring services. For us, it's just an additional Azure VM.
Better customer service as it alerts me automatically to loss of service issues so I can react and either get things fixed before it impacts the customers or to let my management know as soon as possible
It helps me find expensive SQL so our customers get better performance and we make better use of our resources