

Ataccama ONE Platform and Prometheus-AI Platform compete in data management and monitoring solutions. Ataccama seems to have the upper hand in data governance and quality, while Prometheus gains an advantage in flexibility and open-source accessibility.
Features: Ataccama ONE Platform provides robust data profiling, quality checking, and effective match and merge rules, with capabilities boosted by AI and machine learning. It offers seamless integration with tools like Collibra. Prometheus-AI Platform is renowned for its scalability in metric collection and monitoring abilities, effectively integrating with other systems and offering extensive capabilities in Kubernetes-focused environments.
Room for Improvement: Ataccama users experience obstacles with handling large data volumes, along with a demand for better integration documentation and enhanced automation features. For Prometheus, there is room to enhance user interface, visualization, and querying capabilities to improve ease of use.
Ease of Deployment and Customer Service: Ataccama supports both hybrid and on-premises deployments but might struggle with scaling large operations. It benefits from a responsive customer service, although costs are occasionally a concern. Prometheus offers deployment flexibility both on public clouds and on-premises. It relies heavily on community support due to its open-source nature, providing a budget-friendly alternative, but without as structured support.
Pricing and ROI: Ataccama ONE requires a licensing fee, perceived as reasonable although sometimes high, particularly for additional features. Users see a substantial return on investment with improved data efficiencies. In contrast, Prometheus-AI is predominantly free due to its open-source model, offering cost-effective solutions, especially advantageous for those leveraging managed service options wisely.
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.
Using open-source Prometheus saves me money compared to AWS native services.
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.
Prometheus does not offer traditional technical support.
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.
Prometheus is scalable, with a rating of ten out of ten.
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.
Ataccama ONE Platform is stable.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
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.
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.
Prometheus is cost-effective for me as it is free.
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.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 2.5% |
| Ataccama ONE Platform | 6.1% |
| Other | 91.4% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
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.
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
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