

Domo and StreamSets compete in the data integration and ETL software category. StreamSets seems to have the upper hand due to its robust ETL capabilities and minimal coding requirements.
Features: Domo integrates multiple data sources into cohesive dashboards, making it accessible for non-technical users. It offers extensive data connectors, enhancing visualization and management. StreamSets provides powerful ETL capabilities, allowing complex data transformations with minimal coding, which is appealing for beginners. It also ensures data drift resilience, crucial for enterprises managing large datasets.
Room for Improvement: Domo users desire more control over visualization tools and enhanced data connectors, as integration from diverse sources presents challenges. StreamSets could improve user interface ease and adapt to non-traditional platforms. A more flexible pricing model and better logging mechanisms are also needed to broaden its appeal. Both solutions experience technical support issues, with Domo facing integration complexities and StreamSets requiring improved documentation.
Ease of Deployment and Customer Service: Domo operates mainly in cloud environments with an option for on-premises deployment. Users report mixed reviews regarding customer service, citing slow initial setups. StreamSets also works well in cloud and on-premises settings, but users experience inconsistent customer service. Both emphasize the need for better technical support during deployment phases.
Pricing and ROI: Domo is seen as costly but delivers notable ROI through enhanced data transparency and decision-making efficiency. Although it has flexible plans, it remains expensive compared to competitors. StreamSets offers a community free version, cost-effective for larger operations, but its fixed pricing is restrictive for smaller businesses. This pricing model suits medium to large enterprises better.
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.
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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
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.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Product | Mindshare (%) |
|---|---|
| Domo | 0.7% |
| StreamSets | 1.2% |
| Other | 98.1% |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 13 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
Domo provides self-service BI, enabling users to generate reports without needing a data warehouse. Its cloud-based nature enhances accessibility and performance, while offering customizable dashboards for data-driven decision-making.
Domo stands out for its robust data integration, featuring Magic ETL to streamline processes. Its AI-driven insights, extensive data connectors, and collaboration tools promote secure sharing and analytical proficiency. Although users note room for improvement in visualization, pricing, and data integration, its capabilities in generating executive dashboards and unified analytics remain prominent. Performance and user experience enhancements are desired, including improved support for large data volumes and richer data transformation tools.
What are the key features of Domo?In industries like finance, marketing, project management, and retail, organizations use Domo for crafting executive dashboards, integrating data sources, and conducting advanced analytics. Its capabilities allow them to transform data into insightful dashboards, aiding in performance tracking and actionable insights.
StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.
StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.
What are the key features of StreamSets?In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.