Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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.
$18
per month per host
Tableau Desktop
Score 8.3 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$75
per month
Pricing
DatadogTableau Desktop
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
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
DatadogTableau Desktop
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).All pricing plans are billed annually.
More Pricing Information
Community Pulse
DatadogTableau Desktop
Considered Both Products
Datadog

No answer on this topic

Tableau Desktop
Chose Tableau Desktop
When it comes to pricing, Tableau is kinda expensive but worth it as it has more features, not just features but really useful features that make our work easier especially as a project manager I need to pull up data almost every day in our meetings, and I find Tableau useful …
Features
DatadogTableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
8.4
175 Ratings
3% above category average
Pixel Perfect reports00 Ratings8.1145 Ratings
Customizable dashboards00 Ratings9.1174 Ratings
Report Formatting Templates00 Ratings8.1151 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
8.3
172 Ratings
4% above category average
Drill-down analysis00 Ratings8.5167 Ratings
Formatting capabilities00 Ratings8.4170 Ratings
Integration with R or other statistical packages00 Ratings8.0126 Ratings
Report sharing and collaboration00 Ratings8.5165 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
8.3
166 Ratings
1% above category average
Publish to Web00 Ratings8.0155 Ratings
Publish to PDF00 Ratings8.0154 Ratings
Report Versioning00 Ratings8.3120 Ratings
Report Delivery Scheduling00 Ratings8.6128 Ratings
Delivery to Remote Servers00 Ratings8.778 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
8.3
164 Ratings
4% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.5162 Ratings
Location Analytics / Geographic Visualization00 Ratings8.5156 Ratings
Predictive Analytics00 Ratings8.6131 Ratings
Pattern Recognition and Data Mining00 Ratings7.57 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
8.9
149 Ratings
5% above category average
Multi-User Support (named login)00 Ratings9.0145 Ratings
Role-Based Security Model00 Ratings8.9125 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.7136 Ratings
Report-Level Access Control00 Ratings9.010 Ratings
Single Sign-On (SSO)00 Ratings9.283 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
7.9
141 Ratings
2% above category average
Responsive Design for Web Access00 Ratings8.7130 Ratings
Mobile Application00 Ratings7.3101 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.5122 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Datadog
-
Ratings
Tableau Desktop
7.9
67 Ratings
3% above category average
REST API00 Ratings8.259 Ratings
Javascript API00 Ratings7.853 Ratings
iFrames00 Ratings7.151 Ratings
Java API00 Ratings8.448 Ratings
Themeable User Interface (UI)00 Ratings7.654 Ratings
Customizable Platform (Open Source)00 Ratings8.148 Ratings
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DatadogTableau Desktop
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Score 9.3 out of 10
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Score 10.0 out of 10
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Score 9.2 out of 10
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User Ratings
DatadogTableau Desktop
Likelihood to Recommend
9.4
(55 ratings)
8.6
(204 ratings)
Likelihood to Renew
-
(0 ratings)
7.5
(41 ratings)
Usability
9.2
(34 ratings)
8.2
(73 ratings)
Availability
-
(0 ratings)
10.0
(11 ratings)
Performance
-
(0 ratings)
8.0
(10 ratings)
Support Rating
8.9
(6 ratings)
1.0
(57 ratings)
In-Person Training
-
(0 ratings)
9.4
(4 ratings)
Online Training
-
(0 ratings)
8.0
(5 ratings)
Implementation Rating
-
(0 ratings)
8.0
(34 ratings)
Configurability
-
(0 ratings)
7.0
(3 ratings)
Ease of integration
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
9.0
(4 ratings)
Vendor post-sale
-
(0 ratings)
10.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
DatadogTableau Desktop
Likelihood to Recommend
Datadog
Datadog can be pricey for larger scale businesses, so it really depends on your use case. For us, we have a small single deployment application and a small developer team, so our costs are mostly reasonable. There are more features than we can explore which can be somewhat overwhelming. It is mostly easy and intuitive to use but for larger scale you may consider rolling your own solutions.
Read full review
Tableau
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
Read full review
Pros
Datadog
  • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
  • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
  • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
Read full review
Tableau
  • An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
  • Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
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
Tableau
  • Pricing should be more user-friendly and usage-driven
  • Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
  • Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered
Read full review
Likelihood to Renew
Datadog
No answers on this topic
Tableau
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Read full review
Usability
Datadog
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.
Read full review
Tableau
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
Read full review
Reliability and Availability
Datadog
No answers on this topic
Tableau
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Read full review
Performance
Datadog
No answers on this topic
Tableau
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
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.
Read full review
Tableau
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
Read full review
In-Person Training
Datadog
No answers on this topic
Tableau
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
Read full review
Online Training
Datadog
No answers on this topic
Tableau
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Read full review
Implementation Rating
Datadog
No answers on this topic
Tableau
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
Read full review
Alternatives Considered
Datadog
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an open source issue and many problems as we have to keep 2 to 3 people aligned to manage the stack.
Read full review
Tableau
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
Read full review
Scalability
Datadog
No answers on this topic
Tableau
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
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.
Read full review
Tableau
  • Tableau was acquired years ago, and has provided good value with the content created.
  • Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
  • Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
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.