

Domo and Matillion Data Productivity Cloud are key players in data analytics. Domo's accessibility and graphing features give it an edge in visualization, while Matillion's robust ETL and AWS integration make it ideal for handling large datasets efficiently.
Features: Domo provides user-friendly tools, allowing users without technical expertise to easily adopt its features. Its data visualization capabilities integrate seamlessly with various data sources. Matillion offers advanced ETL functions with a user-friendly interface and strong integration with AWS services. Its modular design enables flexible handling of large datasets, simplifying complex data transformations.
Room for Improvement: Domo users suggest enhancements in data management, connector availability, and customer support responsiveness. Improving its flexibility and responsiveness would enhance Domo's offerings. Matillion could benefit from more frequent updates and extended integration with additional platforms. Users desire improved customization and performance, especially in reducing latency and enhancing real-time capabilities.
Ease of Deployment and Customer Service: Domo is deployed mainly in a public cloud setting, offering strong support but sometimes lacking in responsiveness to technical issues. Some users commend initial implementation but encounter challenges with ongoing support. Matillion is praised for its deployment in both public and private cloud environments, notably via AWS Marketplace. However, customer service reviews are mixed, with some users experiencing delays in resolving issues.
Pricing and ROI: Domo's higher pricing is balanced by its comprehensive feature set, eliminating the need for multiple tools. This can be costly for smaller businesses, but it offsets additional infrastructure costs. Matillion offers competitive pricing, particularly via AWS Marketplace, with a flexible pay-as-you-go model suitable for dynamic workloads. Both platforms provide substantial ROI, with Domo reducing time on data tasks and Matillion offering scalable solutions with transparent costs for extensive data engineering needs.
If you're actually using Domo at a very limited case and you're being charged $20,000, we've seen ROI there, but once it goes really high, you really need to check your metrics and check your profit.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
No matter how complex the problem is, it can be taken care of by the support team.
They were quite professional and in around three to five working days, they had identified where they suspected there was an issue and I was able to fix it.
It's very easy to get technical support from Domo.
They communicate effectively and respond quickly to all inquiries.
The fact that you're able to easily identify the pipelines or flows that have errors, and it notifies you when you're building a pipeline where you can run previews and tell where to fix issues, is helpful.
When fetching files larger than 100 MB from SFTP or any other portal, Domo becomes slow due to the heavy file size.
Everything comes under the same umbrella and it's pretty user-friendly.
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.
In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.
In terms of overall stability of the platform, it's very stable.
During that time, we faced issues from the project side as Domo was not visible in our portal.
End users require a license to run their own reports and dashboards, which are fairly expensive.
Some technical aspects such as Beast Mode calculation could be improved in Domo, as it would provide more clarity and help in giving insights to clients or customer business team requirements.
One of the areas where we've had frustrations with Domo is the aesthetics. The aesthetics are quite limited compared to other BI tools such as Tableau and Power BI.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
Domo's pricing is high compared to other BI tools, and it is costly.
For long-time users, it can become expensive, but the trade-off is access to the entire platform instead of licensing different components separately.
They quoted approximately one dollar per KB.
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.
App Studio is valuable because it allows all the customization we needed; we can decode it, with the view and grid which are all I need, drill-downs, and everything can be done the way I need it.
None of the other tools provide the kind of support that enables chatting and working on the same item simultaneously.
Domo has positively impacted my organization by giving everyone the ability to see different data cards and make decisions quicker without relying on BI.
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 | Mindshare (%) |
|---|---|
| Domo | 3.4% |
| Microsoft Power BI | 9.3% |
| Tableau Enterprise | 6.7% |
| Other | 80.6% |
| Product | Mindshare (%) |
|---|---|
| Matillion Data Productivity Cloud | 5.7% |
| AWS Glue | 8.8% |
| AWS Database Migration Service | 7.4% |
| Other | 78.1% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 13 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.
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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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