

Qlik Replicate and Fivetran compete in the real-time data integration and managed data pipelines category. Based on the evaluation of features, areas of improvement, deployment options, customer service, and pricing, Qlik Replicate has the upper hand in minimizing data capture latency, while Fivetran excels in managing seamless data pipeline integration.
Features: Qlik Replicate offers real-time data integration driven by Change Data Capture (CDC) capabilities, extensive manipulation options, and an interface conducive to efficient data transformations. Fivetran provides streamlined integration and supports diverse connectors, efficiently integrating with transformation tools like DBT to enhance data transformations.
Room for Improvement: Qlik Replicate needs to enhance error logging capabilities, user interface intuitiveness, and support for multiple destinations. Improvements in support and pricing transparency are also needed. Fivetran should focus on enhancing observability in data pipelines, expanding connector support, and offering better customization options.
Ease of Deployment and Customer Service: Qlik Replicate accommodates both cloud and on-premises deployments, making it suitable for hybrid cloud architectures. Customer support reviews are mixed, with some users requesting faster response times. Fivetran is predominantly cloud-based, receiving praise for seamless public cloud deployment but is critiqued for limited flexibility in customer service.
Pricing and ROI: Qlik Replicate’s core-based pricing is perceived as expensive but is advantageous for large-scale data management. Fivetran's usage-based model is considered high for large volumes but offers scalability benefits. Both solutions deliver significant ROI through automation and efficient data management.
Fivetran provides time savings, cost reductions, and improvements in data quality.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
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.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Customer support from Fivetran is quite good; it's really nice and responsive.
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.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
The system could be scaled to include more sources and functions.
They have 99.9% accuracy on the data load and they maintain transparency.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
During the duration of the time that we used Fivetran, it was highly stable.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
When we tried to use a built-in Oracle connector, it didn't allow for the tweaks we needed, which led us to the SDK connector route and caused delays in development.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
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.
Our current yearly contract for Fivetran is approximately $70,000.
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
Licensing is calculated based on the machine's total capacity rather than actual usage.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner.
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 (%) |
|---|---|
| Fivetran | 1.8% |
| Qlik Replicate | 1.4% |
| Other | 96.8% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Large Enterprise | 11 |
Fivetran offers a seamless, scalable data integration platform with strong connectors and real-time synchronization. Tailored for managing ETL workflows and integrating with DBT, it appeals to organizations seeking efficient data management.
Fivetran distinguishes itself through its intuitive interface and extensive scalability, allowing businesses to manage entire ETL workflows seamlessly. Its robust connectors ensure smooth integration with multiple data sources, while transparent logging and minimal coding requirements enhance accessibility. With real-time data synchronization, organizations benefit from up-to-date insights for analytics and engineering purposes. While some users point out areas for improvement like better documentation and expanded integration options, Fivetran remains a cherished tool for centralizing data in data warehouses such as supporting change data capture, migrations, and synchronizations from systems like Salesforce, NetSuite, and Google Analytics. Operating within an ELT framework, it empowers businesses to streamline data processes without complex extraction logic.
What are the key features of Fivetran?In industry-specific implementation, Fivetran is integral for businesses requiring robust data integration to power analytics. Retailers utilize it to consolidate e-commerce data for sales insights, while finance firms rely on its capabilities to merge financial data for reporting. In the tech sector, it supports engineering teams by providing a reliable data pipeline that fuels app development and performance monitoring.
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.