

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.
We are able to reduce the number of times needed for debugging through the service graph and the recommendations for the micro-segmentation of their security tool, helping us identify necessary network policies.
Calico Cloud not only secures our network infrastructure but also assures that we are not incurring costs due to breaches, which is a significant factor in the ROI.
It has reduced the time spent troubleshooting network connectivity issues, improved visibility into Kubernetes traffic, and helped us enforce consistent security policies across clusters.
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.
Customer support is very good, and they have responded to us whenever we have encountered issues with the product.
Calico Cloud is quite a usable product.
I believe the relationship between vendors and our management team was effective.
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.
We have not had issues with scalability.
It has over the years demonstrated its scalability and the adoption of products across the industry.
Calico Cloud has scaled well with our Kubernetes environment and has many capabilities that make it easier to apply consistent security policies across multiple clusters.
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.
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.
Adding a speech feature on top of it, such as a summarization of what has actually happened, would be useful for troubleshooting faster.
Having a searchable summary feature, such as a chatbot, could help users quickly resolve issues without having to read extensive documentation.
The pricing, implementation cost, and licensing of Calico Cloud could be reduced.
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.
You create policies to prevent someone from logging into a particular container, and since it has its native container security interface, this helps protect against unauthorized access or damage in the cloud.
Calico Cloud is a portable tool that can work with different types of Kubernetes clusters, it greatly facilitates deployment in different projects.
Overall, it has helped our platform and DevOps team deploy changes with greater confidence, respond to incidents more quickly, and maintain a more secure and reliable Kubernetes environment.
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% |
| Calico Cloud | 0.5% |
| Other | 98.9% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 7 |
| Large Enterprise | 14 |
Calico Cloud is a solution for network security and micro-segmentation in Kubernetes environments, appreciated for secure networking features, deployment streamlining, and enhanced cluster visibility.
Calico Cloud simplifies the complexity of network policies and integrates with diverse cloud platforms, aiding in achieving security and compliance standards. It enhances network performance and efficiently manages workloads in cloud-native applications. With its robust network security and seamless Kubernetes integration, the platform offers advanced observability, efficient microservices management, and scalable architecture. Users often mention the ease of deployment and comprehensive documentation as highlights, while real-time monitoring and detailed analytics are invaluable for maintaining high-performance environments. However, areas for improvement include better documentation, customer support, a more intuitive setup process, and addressing concerns about performance speed and troubleshooting complexities.
What are the key features of Calico Cloud?Calico Cloud is implemented in sectors requiring robust network security and efficient workload management, such as finance, healthcare, and technology. Financial institutions use it to secure sensitive transactions, while healthcare providers rely on it for compliance and data protection. Technology firms benefit from its scalability and performance in managing large volumes of microservices.
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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