

Fivetran and Alteryx Designer both compete in the data integration and analytics category. Fivetran has the upper hand in handling large data volumes and integration capabilities, while Alteryx Designer provides greater flexibility in data manipulation and workflow automation.
Features: Fivetran offers valuable features such as data replication, managed pipelines, and integration with DBT for transforming raw data. It simplifies the integration of data from various business applications into data warehouses. Alteryx Designer provides an intuitive drag-and-drop interface, making it user-friendly for analytics tasks. It is known for data preparation, connection to multiple sources, and efficient execution of ETL tasks.
Room for Improvement: Fivetran needs improvement in data pipeline observability, support for additional connectors, and cost efficiency for high-volume data sources. Users also desire better logs and integration capabilities. Alteryx Designer requires enhancements in its cost structure, scalability, and support for native connectors. Users expect improvements in cloud functionality, collaboration features, and user administration processes.
Ease of Deployment and Customer Service: Fivetran primarily uses public cloud deployments, offering flexibility but with some limitations in on-premise scenarios. Its customer service is timely but varies in responsiveness, giving priority to enterprise users. Alteryx Designer is more suited for on-premises deployment, ideal for environments requiring data governance. Its customer service is generally seen as readily available, though complex queries need better support.
Pricing and ROI: Fivetran's pricing model is based on data volume, which can lead to higher costs for extensive data usage, although it offers flexibility with enterprise-tier benefits. The solution substitutes the need for multiple engineers, providing ROI through efficiency. Alteryx Designer is considered expensive, with scalable licensing options, but incurs high costs for additional features. ROI is reported through automation enhancements and reduced data processing lead times, though initial pricing may deter smaller businesses.
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.
There are areas where they need to improve response time and overall competence.
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.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
They have 99.9% accuracy on the data load and they maintain transparency.
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.
Improvement in existing connectors with new features is desirable.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
Our current yearly contract for Fivetran is approximately $70,000.
The main valuable aspect is the simplicity of use across all features.
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.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful.
| Product | Mindshare (%) |
|---|---|
| Fivetran | 1.8% |
| Alteryx Designer | 1.2% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 16 |
Alteryx Designer is a powerful tool for data transformation and automation, providing an intuitive drag-and-drop interface and robust analytic capabilities, including data preparation, workflow automation, and API connectivity.
Alteryx Designer streamlines data management by offering an intuitive interface that requires minimal technical knowledge. It enhances data transformation and automation tasks through strong predictive analytics, efficiently managing large data sets. Users can create sophisticated workflows, conduct geospatial analysis, and produce financial reports with ease. Despite its robust capabilities, some improvements are necessary in pricing, database connectivity, processing speed, reporting tools, and cloud integration. Users often seek better coding flexibility, enhanced data visualization, and improved collaboration features.
What are the key features of Alteryx Designer?In finance, marketing, and consultancy sectors, Alteryx Designer proves invaluable for implementing ETL processes, automating data integration, and preparation tasks. It supports decision-making by streamlining data pipelines and predictive modeling. Often linked with Tableau, SQL, or SharePoint, it simplifies complex tasks, fostering improved productivity within these industries.
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.
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