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
Redgate SQL Toolbelt Essentials
Score 9.5 out of 10
N/A
Redgate's SQL Toolbelt Essentials includes industry-standard tools for SQL Server development & deployment, enabling users to include SQL Server databases in agile processes and enabilng developers to embed robust and scalable development practices.
$1,209
per year per user (1-4 users)
Pricing
Datadog
Redgate SQL Toolbelt Essentials
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
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Offerings
Pricing Offerings
Datadog
Redgate SQL Toolbelt Essentials
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 may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
We use SQL Compare to troubleshoot performance problems quite a bit since our data model is more like a template and not everything is 100% in sync and customization occurs between different client databases. We continually get pulled into performance issues and the developers will say Client A is performing different than Client B, why? Using SQL Compare, we usually find that one client was tuned and had indexes altered or added that weren't deployed to all clients or other objects weren't deployed correctly during the release. On the other hand, since our data model practices allow client databases to drift I tried to create a new golden image by trying to compare multiple databases based on the same data model and found it to be a very difficult process to complete using SQL Compare. SQL Compare gave me too much information and doesn't allow enough filtering to eliminate a lot of the noise.
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.
Simple and easy comparison of database schemas and data. Differences can be copied or synced from one database to another with a click of a button.
You can save "projects" so that you can easily rerun a previous comparison whenever you need to.
It has a very simple, easy to learn interface. I've never needed to read any documentation or watch any tutorials in order to figure out how to do something.
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
Pricing.... I wish there was an inexpensive developer version I could buy for myself.
Portability.... I would like to use it from a flash drive so I can use it where ever I am asked to work.
Unbundled.... This may be available already but I dont' recall I can buy it cheaply as a stand-alone product. Its only part of the bundle - cost effectively.
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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.
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.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
I've used Visual Studio Database Projects for this type of work in the past with some success, but Redgate SQL Compare is faster, more transparent, and simply easier to use. Faster is self explanatory. More transparent, means that it's much easier to set up your desired options for schema change deployment scripts. Easier to use, It's really dead simple. Start a project, connect your source, connect destination, click compare.
