Azure Data Factory vs Microsoft Analytics Platform System comparison

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."

"The security of the agent that is installed on-premises is very good."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"It is beneficial that the solution is written with Spark as the back end."

"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."

"It is closely integrated with other products in the MS portfolio."

"Helps our customers to discover trends, which provides useful information based on their business."

"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."

"This is a well-integrated solution and that integration empowers results."

"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."

"I like that it's integrated with other Azure products."

"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."

"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"The user interface could use improvement. It's not a major issue but it's something that can be improved."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"The deployment should be easier."

"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."

"The pricing model needs to be improved."

"Functionality needs to be more up-to-date with competing products."

"​Hybrid environments are complex to manage."

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."

"Microsoft Analytics Platform System could have better support."

"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."

"We need better real-time analytics capabilities. It's a bit challenging for us."

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

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

"The price you pay is determined by how much you use it."

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

"Data Factory is affordable."

"This is a cost-effective solution."

"I would not say that this product is overly expensive."

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

"Users have to pay extra for premium-level technical support."

"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."

"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."

"I rate Microsoft Analytics Platform System a seven out of ten for pricing."