

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We also avoid hiring a dedicated data engineer for pipeline maintenance, which has saved us a significant salary.
I have observed a return on investment with 30 to 70 percent of costs saved.
The main benefit was reducing engineering time spent maintaining custom ingestion pipelines and lowering operational overhead around data syncs, which indirectly contributes to efficiency.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Airbyte Cloud's customer support is professional and quite responsive.
On a scale of one to ten, I would rate the technical support as nine.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
We can run multiple syncs in parallel at the same time.
Airbyte Cloud is highly scalable, and we can scale it up whenever required on demand.
Airbyte Cloud scales well as our data needs grow to a scale of ten.
Azure Data Factory is highly scalable.
I did not experience scalability issues.
The incremental sync feature is particularly very accurate as it only moves new or changed records, which keeps our warehouse clean and our data cost-controlled.
Airbyte Cloud has handled our workloads well for scheduled syncs between Postgres and a few SaaS sources and Snowflake.
The solution has a high level of stability, roughly a nine out of ten.
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
A more user-friendly error explanation would be beneficial.
Comprehensive video tutorials, demonstrations, or proper documentation would be beneficial.
Error debugging depth in the UI, more granular visibility into why a sync failed, and better handling or guidance around schema changes when they happen frequently in source systems.
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Its price is 30 to 70 percent lower compared to competitor tools in the market.
I think the overall cost was relatively low, so I don't think we had any issues with billing or costs.
The pricing is cost-effective.
It is considered cost-effective.
Definitely the pre-built connectors have been the most valuable feature for my team, and it has made my workflow easier.
The best features I found most useful were the large number of pre-built connectors, the managed scheduling for syncs, and the ability to monitor sync status and failures through the UI without needing to maintain infrastructure.
The best feature that I have liked about it is the scheduling and automation features that help reduce manual effort significantly in moving data between systems.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
| Product | Mindshare (%) |
|---|---|
| Azure Data Factory | 2.3% |
| Airbyte Cloud | 0.7% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 21 |
| Large Enterprise | 63 |
Airbyte Cloud is a modern data integration platform that facilitates seamless data movement across applications and warehouses with user-friendly features and robust connectors.
Airbyte Cloud offers an adaptable approach to data integration, designed to handle large-scale data synchronization efficiently. It supports various environments, providing reliable and fast data transfer. Users benefit from its open-source foundation, offering flexibility and innovation. Its architecture allows developers to create custom connectors, making it highly customizable to meet specific data movement needs.
What are the crucial features of Airbyte Cloud?Airbyte Cloud is utilized in sectors such as e-commerce, where quick access to real-time data is essential for inventory management, and in financial services, enabling seamless transactions and accurate data analytics. Its flexibility supports environments demanding high agility, driving transformation with minimal disruptions.
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
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