Azure Data Factory vs WSO2 Enterprise Integrator comparison

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"The solution can scale very easily."

"The function of the solution is great."

"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."

"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."

"The solution's technical support is very knowledgeable."

"In my opinion, the most valuable aspect of this solution is its extensive range of adaptors and connectors. This feature holds significant importance and provides great value to users."

"The productivity is the most valuable feature. It is very easy to write remediations."

"WSO2's analytics capability is good, considering the ELC support they provide."

"The drag-and-drop features for connectors are very valuable."

"It's a very complete product. It allows us to network security and add more layers of security to the system."

"The solution basically conforms to our standards."

"The customer service executives are very responsive."

"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"Data Factory's monitorability could be better."

"The Microsoft documentation is too complicated."

"Some known bugs and issues with Azure Data Factory could be rectified."

"There is no built-in pipeline exit activity when encountering an error."

"The setup and configuration process could be simplified."

"I would like to see this time travel feature in Snowflake added to Azure Data Factory."

"You cannot include the validation of XPath."

"One of the reasons that we are looking for a replacement is their way of defining integration. The language of the XML structures that I use to describe the integrations are not that standard, and it's not easy to find people who are familiar with this approach."

"The setup can be difficult for those not familiar with the solution."

"The product's price is an area of concern where improvements are required."

"The main issue with the product is pricing. It uses core-based pricing for WSO2 Enterprise Integrator and API Manager. It would be best if you had APIM by default. It provides many connectors for easy integration with third-party systems."

"If I have to buy software, then it becomes expensive for me."

"The micro integrator should be improved. There is room for enhancement considering alternative integration components."

"I would like to see better documentation for the open-source version."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"I don't see a cost; it appears to be included in general support."

"Pricing appears to be reasonable in my opinion."

"Product is priced at the market standard."

"The pricing is a bit on the higher end."

"I rate the product price a six on a scale of one to ten, where one is low price and ten is high price."

"The pricing of WSO2 Enterprise Integrator for enterprise subscriptions can be considered expensive, especially from the perspective of someone who prefers open-source software."

"The open-source, unsupported version is available free of charge."

"The cost is better than IBM Cloud Pak."

"The solution costs about 20,000 or 30,000 euros per year, per instance."

"It is a low-cost solution."