

Qlik Replicate and Domo compete in the data management and analytics tools category. Based on feature comparisons, Qlik Replicate has an advantage in data manipulation and transformations, while Domo excels in data visualization and ease of use.
Features: Qlik Replicate offers near real-time data processing with robust Change Data Capture capabilities, supporting a wide range of database connectors with minimal manual intervention. It provides efficient data replication without impacting source database performance. Domo, on the other hand, simplifies data visualization and dashboard creation with its user-friendly interface and Magic ETL feature, which enables data transformation without coding. Domo also supports a wide array of pre-built data connectors, facilitating easy data handling and visualization.
Room for Improvement: Qlik Replicate could improve its user interface and support system by offering clearer error messaging and a more intuitive design. Domo might enhance its ETL capabilities for handling large datasets and expand its chart options to match competitors. Additionally, addressing complexity in calculations and bolstering data integration and governance would benefit Domo users.
Ease of Deployment and Customer Service: Qlik Replicate offers deployment flexibility with Public, Hybrid, and On-premises options, though it faces challenges with technical support response times. In contrast, Domo provides deployment across Public, Private, and Hybrid Cloud environments, focusing on collaborative customer service and engagement during setup and support.
Pricing and ROI: Qlik Replicate is priced higher but offers cost-effectiveness for large enterprises by providing operational savings. Domo's pricing is perceived as high yet justified by its convenience as an end-to-end BI tool, offsetting infrastructure costs and offering quick adoption and ease of use. Both tools deliver ROI through time savings and enhanced business insights.
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.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Customers have seen ROI with Qlik Replicate because they get their data for analysis faster, enabling quicker decision-making compared to traditional data sourcing methods.
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.
Even priority tickets, which should be resolved in minutes, can take days.
Support response times could be improved as there are sometimes delays in receiving replies to support cases.
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.
The system could be scaled to include more sources and functions.
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 is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs.
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.
Licensing is calculated based on the machine's total capacity rather than actual usage.
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
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 most valuable feature of Qlik Replicate is their change data capture feature.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
| Product | Mindshare (%) |
|---|---|
| Domo | 0.7% |
| Qlik Replicate | 1.4% |
| Other | 97.9% |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 13 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Large Enterprise | 12 |
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.
Qlik Replicate offers log-based change data capture, supporting real-time data updates without affecting source databases. It manages schema changes automatically and ensures seamless data distribution. The platform is user-friendly, enables late-stage transformation, and supports incremental replication and real-time analytics.
Qlik Replicate is known for efficiently capturing data changes with minimal impact on source databases. Its log-based change data capture capabilities ensure quick propagation of updates in real-time while automatically handling schema changes, facilitating ease in data management. The system's seamless integration across endpoints and a user-friendly interface make it an invaluable tool for incremental replication and real-time analytics. Despite some challenges like UI freezing, complex licensing, and error handling, it is instrumental in enhancing business growth and operational efficiency. Users continuously seek improvements in error insights, data compression, and expanded API integration to better serve diverse data sources and platforms.
What are the key features of Qlik Replicate?Qlik Replicate is used across industries such as energy, banking, and semiconductors to modernize analytics environments and streamline data flows. It excels in data migration from systems like SAP HANA and Oracle to environments like AWS, significantly reducing downtime and boosting analytics capabilities. Organizations report advantages such as enhanced data accessibility and automated data modeling, which facilitates efficient change data capture and operational effectiveness.
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.