Altova MapForce Server vs. Azure Data Factory

Altove Mapforce Server is a software that offers high performance at the server level when executing data mappings and offers even greater productivity by improving the automation of data mappings, it is a tool that offers the advantage of making use of functions that allow actions automated before or after mapping execution, is used because it provides up to 70 times faster performance.

Incentivized

Best scenario is for ETL process. The flexibility and connectivity is outstanding. For our environment, SAP data connectivity with Azure Data Factory offers very limited features compared to SAP Data Sphere. Due to the limited modelling capacity of the tool, we use Databricks for data modelling and cleaning. Usage of multiple tools could have been avoided if adf has modelling capabilities.

Incentivized

• Connecting to and mapping data from a variety of sources, including databases, XML files, and text files.
• Transforming data from one format to another, such as XML to JSON or CSV to XML.
• Generating output in a variety of formats, including XML, JSON, CSV, and SQL.
• Running mapping jobs on a schedule or on demand.
• Providing comprehensive logging and email notification.
• Supporting multiple users and roles with security and permissions.

Incentivized

• Data Ingestion - it works very well with numerous data sources.
• Data pipeline orchestration: It is a generic, popular tool for orchestrating data pipelines.
• Works well in Azure ecosystem, Azure services and data platforms like Databricks.
• It is a serverless and scalable solution for cloud data integration.

Incentivized

• Altove Mapforce Server is an enterprise software that performs data transformation and mapping on MacOS, Windows, Linux operating systems with seamless operation and flexible features that adjust to user needs, It offers high-level services such as bulk database inserts. data by reducing the processing load and achieving much faster performance.

Incentivized

• Granularity of Errors: Sometimes, Azure Data Factory provides error messages that are too generic or vague for us, making it challenging to pinpoint the exact cause of a pipeline failure. Enhanced error messages with more actionable details would greatly assist us as users in debugging their pipelines.
• Pipeline Design UI: In my experience, the visual interface for designing pipelines, especially when dealing with complex workflows or numerous activities, can become cluttered. I think a more intuitive and scalable design interface would improve usability. In my opinion, features like zoom, better alignment tools, or grouping capabilities could make managing intricate designs more manageable.
• Native Support: While Azure Data Factory does support incremental data loads, in my experience, the setup can be somewhat manual and complex. I think native and more straightforward support for Change Data Capture, especially from popular databases, would simplify the process of capturing and processing only the changed data, making regular data updates more efficient

Incentivized

So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.

Incentivized

We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue

Incentivized

Altova MapForce Server is a powerful data integration tool that supports a wide range of data sources and targets. Talend Data Integration is also a powerful data integration tool, but it does not support as many data sources and targets as Altova MapForce Server. Altova MapForce Server also supports a wide range of data transformation and mapping features, making it a more versatile tool than Talend Data Integration.

Incentivized

Azure Data Factory helps us automate to schedule jobs as per customer demands to make ETL triggers when the need arises. Anyone can define the workflow with the Azure Data Factory UI designer tool and easily test the systems. It helped us automate the same workflow with programming languages like Python or automation tools like ansible. Numerous options for connectivity be it a database or storage account helps us move data transfer to the cloud or on-premise systems.

Incentivized

• Altove Mapforce Server is an ETL and data mapping tool that performs mapping to all popular data formats and transformation between any combination of XML, JSON, Excel, and Web service data. It positively impacts my organization by helping us develop delivery notifications internally by converting data from one format to another.
• A perfect platform for developers and IT professionals to map data from one format to another with security and speed.

Incentivized

• Facilitate better decision-making and improve business processes.
• Optimize business process outcomes by increasing internal efficiency and operational effectiveness.
• Boosts revenue growth while improving business process agility.

Incentivized