

Find out in this report how the two AI Data Analysis solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
In the first couple of years, I would not expect a return on investment because the initial setup will take more than a year if the process requires significant customization.
In my opinion, there's a positive return on investment.
I have seen a return on investment, especially in time saved for my clients; in the incident management process, the average cycle time for handling tickets was over ninety-eight hours, but after identifying root causes, such as tickets being held due to wrong group allocation, the cycle time reduced to approximately thirty-eight hours.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
It took more than two weeks to receive a response.
Celonis customer support is really good; they investigate concerns thoroughly and provide solutions or troubleshooting steps, which I find helpful.
Other times I do not get much clarity on the support from the team.
They communicate effectively and respond quickly to all inquiries.
I recall that when we started using Celonis, we had a space of five terabytes and around one thousand users, and Celonis managed all of that easily.
I recommend focusing on recent data or perhaps five years of historical data along with live data for better visibility and stability in the process.
At the moment, I'd rate scalability six or seven out of ten.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
It's super stable.
Celonis is stable.
Ultimately, I need niche expertise, combining strong SAP knowledge with Celonis competency.
It is essential for the Celonis solution to have their services and solution models integrated with GenAI.
The most important area for improvement is the automation part.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
I think it's relatively expensive, but it's also good.
Based on client feedback, I have heard that the pricing for Celonis is considered high.
creating a data model for one process will differ in cost if you add more data models for additional processes.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
Celonis is also beneficial for its built-in apps that streamline tasks from legacy applications, facilitating daily operations and improving efficiency.
It provides a visualization of the process itself, giving a very good synthesis of performance and helping me find improvements.
It's the first solution that combines business competence and capabilities with technological capabilities.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
| Product | Market Share (%) |
|---|---|
| Celonis | 0.5% |
| Matillion Data Productivity Cloud | 1.1% |
| Other | 98.4% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
Celonis is the global leader in execution management. Powered by its process mining core, Celonis has evolved from its beginnings as a Process Mining company into an execution management pioneer, enabling companies to unlock execution capacity and perform at full potential. Celonis offers advanced technology in data execution, combining real-time process data, the intelligence to make sense of that data, and the execution capacity to take immediate, decisive action. Celonis’ Execution Management System makes data work for its customers by identifying inefficiencies and weaving interconnected processes together – thereby eliminating billions in corporate inefficiencies, empowering better business decisions and triggering the right actions automatically. Celonis is headquartered in Munich, Germany and New York City, USA and has 15 offices worldwide.
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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