Azure Data Factory vs. ibi Data Migrator vs. Improvado

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

This solution helped us when we were stuck trying to explore data deeper and didn’t have enough resources to prepare data for further analysis. The software solves data integrity problems bringing more granularity to all insights. Integration with data visualization tools and well-arranged insights shows how each of the company’s marketing channels performs in real-time. Improvado is also useful for risk mitigation when launching or adjusting marketing strategies. It may also become a valuable tool for businesses, who are aiming at automation and the elimination of routine processes. ETL processes automation unleashes marketing analysts’ potential granting them more time for research of marketing reports.

• 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

• ETL processes. Once adjusted, Improvado never fails to streamline data from our advertisement platforms to the data warehouse.
• Variety of data sources. Improvado extracts data from over 200 sources, including both well-established platforms and the ones that are rapidly gaining momentum.
• Full-cycle support. Improvado provided us with a dedicated manager available 24/7. Any issues that arose during the product integration were settled in a matter of minutes.
• Flexibility and client-focused approach. After the integration, we adjusted our marketing campaign and needed new ad platforms to be integrated. The vendor allocated the development team ASAP to add new connectors to our existing network.
• Professional services package. The company doesn't provide dashboard views by default. However, we had no time to figure out how to do it ourselves, so we hired a team of Improvado's analysts that set everything up for us.

• 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

• Improvado didn’t have all the integrations that we needed. However, they offered full coverage and quickly found ways to extract data from the sources we required.
• The user interface for BI tools may be confusing to inexperienced users. Personally, I didn't have any problems. However, some of the junior marketing specialists from my department needed more time to adapt to the UI. Otherwise, the interface is great.

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

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

We chose Improvado for the following reasons:

• Their data transformation framework cleans, normalizes and prepares data for loading into our data visualization tool;
• We connected our CRM to our analytics tool and as ad account;
• Extensive social media reports - the marketing team can view our ads, posts, comments right from the dashboard.
• Scheduled reports and immediate data sync options help us to get the reports with the most accurate data at the time we need them;
• Google Ads auto-connect new ad accounts.

Our marketing team evaluated Funnel.io and has opted for Improvado because of the following drawbacks:

• With Funnel we’d have to set up an extraction process for each campaign and account manually;
• The more accounts you need to connect or integrations to use, the more you’ll pay;
• Limited data storage options;
• Complicated account export. We had to filter accounts to export through the custom filter rules.

• 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

• Increased ROI
• Improved cost of acquisition analysis
• Improved CPA, CPI, CPL report drawing process