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
Microsoft BI (MSBI)
Score 8.7 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$14
per month per user
New Relic
Score 8.2 out of 10
N/A
New Relic is a SaaS-based web and mobile application performance management provider for the cloud and the datacenter. They provide code-level diagnostics for dedicated infrastructures, the cloud, or hybrid environments and real time monitoring.
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Pricing
Datadog
Microsoft BI (MSBI)
New Relic
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
Power BI Pro
$14
per month per user
Power BI Premium
$24
per month per user
Free (Forever)
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Telemetry Data Platform
$0.25
per month per extra GB data ingest (after first free 100GB per month)
Incident Intelligence
$0.50
per month per event (after first 1000 free events per month)
Standard
$99
per month per full user (after first free full user - unlimited free basic users)
Pro
Contact sales team
Enterprise
Contact sales team
Offerings
Pricing Offerings
Datadog
Microsoft BI (MSBI)
New Relic
Free Trial
Yes
No
No
Free/Freemium Version
Yes
Yes
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
Optional
No setup fee
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, …
We use Microsoft BI because our organization has all of its software in the Microsoft ecosystem. It just made sense to utilize Microsoft BI because it can so seamlessly connect to all of the other Microsoft tools and data sources that we were using before. We often find that …
MSBI for my company is a like using a car that has a good balance of features, is easy to use, has good support, and works well with other things or requirement you may have. We specifically chose it because it is one of the promising platform whose support team will never let …
Better integration with Microsoft products is one of the advantages of using Business Intelligence (BI). It's simple to understand, and plenty of resources are available to outsource it. Many of our existing clients have Microsoft licensing agreements. It's an obvious path when …
Outsourcing work is easy to understand, and there are plenty of resources available in the marketplace. It is expensive, but it is still significantly less costly than the alternatives. Results from Microsoft BI (MSBI) are dependable; therefore, there is no problem with trust. …
MSBI is great for data collection and reporting, but it lacks the visual appeal and features of Power BI. Even though it's still useful, it falls short of Power BI in terms of features. There's no reason to doubt MSBI's findings. MSBI has a proactive customer service team that …
Each of the solutions has their pros and cons, but Microsoft's BI offerings provide the best "bang for the buck." Few solutions available offer the breadth of feature functionality in a single package, with BI and database generally being sold as separate offerings. However, …
The biggest player against Microsoft BI (MSBI) was Tableau, which was acquired by Salesforce. Recently there have been other standalone software/applications that provide similar functionality to Microsoft BI (MSBI). Because my company is a Microsoft shop, we have not explored …
Tableau's feature set is comparable to Microsoft BI at a potentially lower cost, however, Microsoft provides better integration into a Microsoft Environment and more flexible deployment options. Microsoft also provides better enterprise support than Tableau (although this may …
We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
A lot of our existing client base has licensing agreements in place with Microsoft, couple that with decision-makers wanting to achieve the outcome with the least amount of additional licensing costs added, and it becomes an obvious path, however, it is very crucial to first …
Unlike Oracle Business Intelligence Cloud Service (OBICS), Microsoft BI offers a good range of visualisation options. However, it falls behind in terms of data management capabilities. If your requirements are more data intensive and less reporting intensive, then Microsoft BI …
We initially considered Google Analytics, but eventually decided against it due to the licensing terms and the associated software that we would need to incorporate. IBM Cognos is great at what it does, as long as you are trying to integrate with software that is on their …
Specific data displays are some of the strongest aspects of Microsoft BI when compared to alternate programs. It also does a superior job in compatibility with many programs, especially those from Microsoft. Since my company primarily uses Office 365 and other Microsoft …
The other programs listed are excellent. I have always been a fan of Google products because they are user-friendly and easily accessible by most. They also produce excellent data outputs. Google is still great for companies of any size but I believe Microsoft BI is an even …
To be honest, I have never used anything similar to PowerBI. I have seen reports that come from Whatagraph, but I have never used it myself, so that is the only application that I can sort of compare it too. Just looking at the visuals from both, PowerBI reports are better …
Less expensive than datadog and sentry with almost everything we need. Less effort to set up and maintain than elastic search and kibana so saved a ton on engineering bandwidth which would have otherwise been lost.
Before start using New Relic, we had a custom Grafana monitoring tool configured for our clients. Altough functional, it took too much time to add new alerts and monitoring features. New Relic is way easier and simpler to to configure and saves us a lot of time spent not only …
Data Dog has solutions that look more attractive, but not at their price point. We have also tried to build a solution straight from the Cloud, where our business is built, but some things are too hard to replicate. This shows that New Relic is useful and helps our efficiency.
New Relic continuously focusing on Open Telemetry and agentic AI integrations which is helping users to focus on the latest technology and as we all know that in future Observability will be mostly on OTel concept and AI driven and New Relic focusing on those area. Apart from …
The main reason is its pricing models which is value for money with respect to its features and it supports the OTEL related integrations which helps us to adopt the updations of Otel very easily and also it gives us flexible to drop the data in different stages through the …
Its covers all the observability aspects as well as giving us more competitive pricing models compared to other providers that's why I like to use New Relic in place of other tools. And also it introduces new Agentic AI features as well as it adopts AI in its RCA. As an …
Tracing of the services calls between the entire components in the architecture is good and easy to understand. Dashboarding building process is simple. UI is simple.
New Relic has full stack visibility and gives us all options for observability like one stop shop. It gives you front end, backend as well synthetic monitoring capabilities.
Every other feature built into one cost model (usually) which ties to data that you send, it helps you …
New Relic stood out to us primarily because of its all-in one approach, combining APM, infra monitoring, logs and alerts in single platform. Compared to other tools we evaluated, if offered a smoother on boarding experience and required less stitching together of different …
Solarwinds was good until they migrated to a new kind of offering and discounting the old product making it more expensive and less flexible for our specific use-case. The free trial also helped me try and get started without needing to commit. I think right now New Relic is the …
New Relic is the easiest to adopt, the price is in line with the other tools, and it has the lowest threshold to cross in order to learn the system and the platform. Adopting OpenTelemetry has been helpful in getting data aligned, and their documentation has been sufficient for …
The New Relic Platform addresses this challenge with the new plugin architecture. Plugins provide a way to monitor each of these technologies, extending the New Relic interface with custom-made dashboards specific to each. They pair the reporting of metrics specific to the …
We selected TrackJS for error monitoring and New Relic for site speed monitoring. TrackJS is a much easier to use tool for JS error monitoring, so we never ended up consolidating tools or moving over to New Relic permanently. We use New Relic for site speed monitoring and …
New Relic is the most full-featured offering that we've found, and is incredibly easy to start using with a PHP app. The New Relic agent is installed as a PHP extension so it is able to monitor and track the performance of any PHP app being run by the web server. Other tools …
New Relic is used by developers and support teams at our organisation - Splunk is used more in security monitoring by our SecOps team - not sure how they might compare doing the same job
The overlap is not large, but the one advantage of the speed curve is retention: data is available permanently, which allows you to investigate the hypothesis with data collected before formulating the hypothesis. This has proven very effective for us.
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.
Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
I have used New Relic in different scenarios like monitoring my production infrastructure and applications which helps us to reduce the downtime of my applications and websites and also I have used the synthetic monitoring feature which helps to proactively monitor our websites availability. Along with this I have also used New Relic for cloud resources cost monitoring which helps to reduce my cloud cost. Also I have used mobile application monitoring which helps me to trace the sessions easily and I can easily reduce my RCA through the help of that.
The layout of Power BI is very intuitive. Someone that is familiar with Excel and working with Charts and Graphs in that environment will find the learning curve a rather short one to start using Power BI.
I like the way Power BI fits an assortment of users and how the functionality that you engage is replicated in Excel, that being Power Query and Power Pivot. So what you learn in one tool can be readily applied towards the other which allows you to more effectively apply your training.
I appreciate how Microsoft is working to develop tools that go a long ways to empowering the end user. Prior to Power BI I would have had to consult with a "BI" professional to develop a dashboard. With Power BI I don't have to consult with anyone, I can work to put together the dash board I want and using a tool set that is really robust and allows me to engage an enormous amount of data. It's provides a great deal of flexibility and the types of data I can connect to.
Updates...Microsoft is working diligently to keep Power BI current with monthly updates. They do a really good job of listening to the end user, if there is functionality not currently present just give them a month or so.
Just to be clear, even though it's easy to get going right out of the gate with Power BI it provides plenty of opportunities to create some really sophisticated reporting solutions. With DAX in Power Pivot and M language in Power Query, you are provided with plenty of head room to do some really amazing things in Power BI.
Training...there are resources across the web for learning and growing your skills and Power BI. And what's even better is the majority of those resources are free.
Data engagement, when presenting the data to the end user Power BI goes a long way to allowing that end user to engage the data and begin to identify root cause by simply interacting with the graph/chart/data set. It allows for really fluid engagement. Prior to Power BI so many times during the presentation of data we often times ended the engagement with that data with more questions than what were answered. With Power BI, more often than not, the end user is able to get answers to the questions by simply clicking on the data in the graph/chart/dataset to see the details. This tool really does have the capacity to make you look like a rock star.
New Relic APM allows us to follow up transactions across services and trace performance bottlenecks in real-time, crucial when monitoring the processing of energy loads or predictive maintenance algorithms.
It gives us deep visibility into our cloud servers, containers and IOT gateways, so we can catch CPU spikes or memory leaks which can impact the data we ingest from the field devices.
We develop custom dashboards for monitoring trends of power consumption, abnormality in sensors and API health. In conjunction with alerting, it makes sure we are fixing issues before customers even see them.
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
The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
I have not yet found any similar product that offers me this range of features to help us keep our online service fast and reliable. Besides this, New Relic is constantly evolving by adding new plugins to emerging technologies and platforms. Server performance measuring features are a key point as our user database grows.
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 Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
I have given this much rating as I am used New Relic in different sectors and for different use cases like its K8s monitoring, infra monitoring, full stack monitoring as compare to other tools New Relic gives data in a formatted and connected way, and also it is giving us value for money. It also launches new features day by day which helps users to track the issue very quickly. It also supports OTel integrations which is the latest trend of observability tools. thats why I had given this much rating to New Relic.
SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
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.
While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed
I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
The documentation was clear and concise; the only issue we ran into was custom application naming. Due to HTTPD mod_fcgid and the need for the application name to be set in php.ini (not in .htaccess or the virtual host directive) ... we had issues setting this up.
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.
We use Microsoft BI because our organization has all of its software in the Microsoft ecosystem. It just made sense to utilize Microsoft BI because it can so seamlessly connect to all of the other Microsoft tools and data sources that we were using before. We often find that more people have experience with Microsoft BI than other tools that we looked at due to its popularity and widespread use within other organizations.
Before start using New Relic, we had a custom Grafana monitoring tool configured for our clients. Altough functional, it took too much time to add new alerts and monitoring features. New Relic is way easier and simpler to to configure and saves us a lot of time spent not only on configuration, but also keeping the service working.
Profit increase due to MSBI output and a better understanding of multiple functions other than cost.
Data compatibility will be improved, and MSBI will have the opportunity to handle the API more effectively. The MSBI ETL stack works well with relational databases, but with cloud-based data sources emerging, non-relational data sources should be supported.
Save time interpreting data. Our analytics capabilities have helped our clients understand complex data with simple reports. Thus, it facilitated decision-making.