

Find out in this report how the two AI Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It has reduced manual efforts that would otherwise be spent checking where spending is occurring and ensuring all teams use resources correctly.
I have seen a return on investment of 100%, with significant cost avoidance and measurable savings within the first few months of deployment.
I've seen a return on investment, as the savings are concrete, measurable, and they show up directly in the AWS bill.
Atlan has a better approach compared to Data Hub.
Data Hub centralizes data cataloging and classification, saving us from having to disclose PII column information to teams not utilizing it.
It is very helpful in building data quality for the company, leading to approximately thirty percent improvement in efficiency.
The additional support ended up taking longer than expected, with responses that did not meet our need for detailed and technical assistance.
Sometimes support needs to be reached, but they are very responsive and supportive.
The customer support for CloudCheckr is fantastic.
When I was working with Atlan, and needed support, they were very good at attending to my requests directly.
Customer support for Data Hub is quite good.
Customer support for Data Hub is very genuine, and they are responsive and attentive.
It scales well for MSPs and large enterprises, allowing for management of hundreds of accounts and tens of thousands of resources while retaining performance and visibility.
We have successfully onboarded over 1000 datasets from various sources without any issues.
Data Hub's scalability is advantageous, as we onboard data from over one hundred fifty tables in SQL Server to Snowflake, and adding new tables to Data Hub is not time-consuming.
Data Hub's scalability is very easy, as we were able to add users and new datasets very quickly and smoothly.
CloudCheckr is stable and rock solid.
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
When I used Data Hub, I did not experience any lagging, crashing, or downtime.
Data Hub is stable in my experience.
CloudCheckr is a powerful and feature-rich tool with abundant metrics.
Another area is drift analysis; there have been complaints about tracking optimization opportunities, such as how to track opportunities identified in January and whether they were resolved in February.
An area where CloudCheckr can be improved is pricing.
Providing consulting or support with professionals who are qualified to use Data Hub would be interesting, along with providing training and certifications for the tool so that those who are implementing it can specialize increasingly in its features.
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general.
I wonder if it can automate the classification exercise, possibly using AI to auto-classify PII direct and indirect items.
Overall, the pricing was quite convenient and represented good value for money.
Pricing is feature-tiered under the MSP licensing, and I would say the pricing was quite competitive and fair.
I won't pretend it's cheap, but we've saved multiples of what we pay for it, so the conversation with finance is straightforward.
Regarding experience with pricing, setup cost, and licensing, I think if we have a budget of one hundred thousand US dollars, we will be able to deploy a reasonable version and connect to a number of data sources.
It costs about zero since, if we win the setup, it probably results in no cost.
The cost visibility and reporting are really valuable, and the dashboard is informative and enables good decision-making.
What makes CloudCheckr easy for me to use is its intuitive interface.
The best features CloudCheckr offers include out-of-the-box security and compliance check features that provide over 35 different types of compliance checks at no cost, best practice checks, and alerts.
Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.
Data Hub has positively impacted our organization by bringing the tribal knowledge that resides with team members into a single place where users can discover and understand the data elements before they make use of it.
Having a tool that shows the data lineage from the source until the target tables helps us a lot.
| Product | Mindshare (%) |
|---|---|
| Data Hub | 0.6% |
| CloudCheckr | 0.6% |
| Other | 98.8% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 7 |
| Large Enterprise | 14 |
CloudCheckr offers a cohesive platform for managing cloud infrastructures with a focus on cost visibility, security, and compliance. Designed for multi-cloud environments, it provides insights and optimizations to enhance decision-making and resource efficiency.
CloudCheckr delivers thorough cloud management with features like cost analysis, security and compliance checks, and automated optimization suggestions. Its intuitive interface allows for easy deployment, supporting cost-saving measures. Users often find its cost visibility, multi-cloud integration capabilities, and granular reporting particularly beneficial. However, improvements can be made in areas such as Azure and Google Cloud integration, reporting capabilities, pricing model clarity, and UI complexity reduction.
What are CloudCheckr's key features?Industries using CloudCheckr benefit from enhanced cloud financial optimization and security monitoring. Managed service providers find it crucial for customer billing, while organizations leverage its multi-cloud support for maintaining compliance and governing usage. Specifically useful in sectors like finance and technology, it aids in data analysis and cost-saving strategies.
Data Hub is an advanced platform designed to streamline data management processes, enhance data accessibility, and provide comprehensive analytics capabilities for informed decision-making.
Data Hub offers a unified approach to handling large-scale datasets, empowering organizations to effectively manage, analyze, and extract insights from their data infrastructure. It provides robust features for data integration, storage, and visualization, supporting diverse business needs and driving data-driven strategies.
What are the key features of Data Hub?Data Hub is implemented across industries such as finance, healthcare, and retail, providing tailored solutions that meet specific demands in areas like customer data analysis, patient record management, and inventory tracking. Its ability to adapt to sector-specific requirements makes it a versatile choice for businesses seeking enhanced data capabilities.
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