

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.
Legally, financially, and reputationally, addressing these data quality issues was crucial, and implementing Ataccama was a major step for them.
Money got saved and time got saved because previously, data quality was addressed through SQL and Python.
Honeycomb Enterprise played a vital role in identifying the problems in the initial calls itself. That has actually saved us a lot of incidents.
The biggest return on investment with Honeycomb Enterprise is being able to find, if I am doing production support and something goes wrong, the exact scenario or the exact request and response and the details of that really quickly.
Problems that would previously take one or two hours to isolate were often narrowed down to 20 to 30 minutes using distributed tracing or BubbleUp.
MetLife worked with senior developers who made a positive impact on our experience.
We can raise a ticket using Jira, and they address it as soon as possible based on priority.
If it is a small issue, they tend to respond very quickly and they try to answer the question.
The support team has been knowledgeable and responsive, especially when we had questions about instrumentation, OpenTelemetry integration, or troubleshooting complex observability issues.
To highlight what is the issue going on in our currently running 100 requests, we just highlight that one request which is very slow or maybe we just move it to the top so that we can alert everybody that this is the problem.
We have never faced an issue with Honeycomb Enterprise.
As the volume increases, the performance of Ataccama ONE Platform decreases.
Ataccama ONE Platform's scalability is high, supporting large volumes of data and complex logic with flexible deployment options.
There was a concern with the architectural team about how much processing Ataccama ONE would need as usage scaled up.
When you send traces, you will get the complete view of the life of the code and how it has been executed.
Honeycomb Enterprise scales best when all the products in the company use it because it allows tracing outside of individual products to see how they interact.
At times we can be shocked to see that this price is too high for involving too many developers on one peak or having a much bigger data set or more advanced features for our use.
With Ataccama ONE Platform, it becomes very helpful, and I can directly integrate multiple sources on one platform to maintain data quality and check for it efficiently.
The updates were worth implementing, with no significant problems observed.
We are still developing the application, so there have not been many crashes or instabilities.
They could not get proper tracing with Honeycomb Enterprise at that time.
In terms of stability and availability, this is an impressive one.
It provides logging, it provides connection with AWS, it provides connection with Docker, and machines, and local services, and mobile applications also.
The documentation part can be improved because documentation is key for any organization or tool.
It would be beneficial if these interactions could be more plug-and-play and less code-intensive, making them more efficient and easier to set up.
After every change and every match and merge rule you apply, you need to reprocess the entire record, which has to again go through the match and merge rules.
Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment.
The main thing is that I think everything should very hard aim for the direction of being AI compatible because every engineer, or most engineers now use AI to code.
That is what performance engineers and SREs need to see for each request, where it spent the entire time; how many other services or databases it interacted with and what took more or less time.
What made the costing a problem with Ataccama ONE Platform is related to licensing, as it is every one year.
The only concern I had was that some features like address validation cost a little extra with the basic plan.
I have heard that the licensing and setup costs are quite high, especially if we try to connect for a support call.
In terms of pricing, it was a little challenging to get the company to commit to the full pricing of Enterprise, but once we got there it was nice.
We were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.
It is very good in scalability.
Ataccama ONE Platform has positively impacted our organization because before its implementation, completing tasks such as more than 100 or thousands of rules took more than a week. Now, we complete those tasks in less than two or three days due to the automation and one-time task capability.
We get alerts into Slack, and they work great. We see a lot of metrics go through into Slack, and they are really useful for keeping our team focused on only seeing one place to see alerts.
The most valuable feature of Honeycomb Enterprise for me is the root cause analysis part because it helps me greatly with the response messages and derived error messages which are very clearly mentioned in Honeycomb Enterprise logs.
Honeycomb Enterprise is designed for modern cloud native systems.
| Product | Mindshare (%) |
|---|---|
| Honeycomb Enterprise | 1.0% |
| Ataccama ONE Platform | 0.5% |
| Other | 98.5% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 12 |
Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.
Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.
What are the key features of Ataccama ONE Platform?In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.
Honeycomb Enterprise is designed to optimize performance visibility, offering a robust platform for distributed system observability. It provides insights for complex data and aids in faster issue resolution, making it a valuable tool for IT professionals.
This tool is tailored for real-time data tracking and improving system performance efficiency. Enterprises benefit from its capacity to handle large-scale data, ensuring seamless operations and continuity. Honeycomb Enterprise helps teams to tackle data challenges head-on by delivering comprehensive analytics that enhance infrastructure reliability and performance metrics.
What Features Make Honeycomb Enterprise Stand Out?In industries like finance, e-commerce, and technology, Honeycomb Enterprise implementations demonstrate its utility in managing complex data flows and optimizing system reliability. Businesses in these sectors leverage its capabilities to maintain high service standards and operational efficiency.
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