TrustRadius

AnalyticsCreator vs. Azure Data Factory

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AnalyticsCreator
Score 0.0 out of 10
N/A
AnalyticsCreator automates design, development, deployment, and change processes, to enable teams to manage data for analytical needs. AnalyticsCreator's prototyping empowers business to showcase results faster and generate code for data management through a connected analytical frontend, such as Power BI. Whether on Azure SQL DB, Azure data warehouse, or on-premises MS SQL, AnalyticsCreator provides a tool for streamlined data management.N/A
Azure Data Factory
Score 9.0 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A
Pricing
AnalyticsCreatorAzure Data Factory
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AnalyticsCreatorAzure Data Factory
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
AnalyticsCreatorAzure Data Factory
Features
AnalyticsCreatorAzure Data Factory
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AnalyticsCreator
-
Ratings
Azure Data Factory
9.0
Ratings
7% above category average
Connect to traditional data sources00 Ratings9.00 Ratings
Connecto to Big Data and NoSQL00 Ratings9.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AnalyticsCreator
-
Ratings
Azure Data Factory
8.5
Ratings
4% above category average
Simple transformations00 Ratings9.00 Ratings
Complex transformations00 Ratings8.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AnalyticsCreator
-
Ratings
Azure Data Factory
7.2
Ratings
10% below category average
Data model creation00 Ratings8.00 Ratings
Metadata management00 Ratings7.00 Ratings
Business rules and workflow00 Ratings7.00 Ratings
Collaboration00 Ratings6.00 Ratings
Testing and debugging00 Ratings7.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AnalyticsCreator
-
Ratings
Azure Data Factory
7.5
Ratings
8% below category average
Integration with data quality tools00 Ratings7.00 Ratings
Integration with MDM tools00 Ratings8.00 Ratings
Best Alternatives
AnalyticsCreatorAzure Data Factory
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AnalyticsCreatorAzure Data Factory
Likelihood to Recommend
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
7.0
(0 ratings)
User Testimonials
AnalyticsCreatorAzure Data Factory
Likelihood to Recommend
No answers on this topic
In a data pipeline, you will be able to add different kinds of activities for example connect from your on-premise SFTP and move CSV files to storage accounts. As well data factory has its own data flow if you are an ETL developer who experimented with maybe you have worked with SSIS, thus, you will start quickly with this new feature of the data factory.
Rajarshi Maitra | TrustRadius Reviewer
Rajarshi Maitra
Director/Client Engagement Leader- P&C Insurance (Digital Transformation)
Read full review
Pros
No answers on this topic
  • Creating ETL and ELT workflows as well as orchestrating and monitoring pipelines without writing any code.
  • Hybrid data integration is easily and agilely possible through this software.
  • It has lot of various useful components
Niloofar Keshvari Nia | TrustRadius Reviewer
Niloofar Keshvari Nia
IT Operations and Support Specialist
Read full review
Cons
No answers on this topic
  • Learning curve for pipeline creation interface.
  • Alerting isn't necessarily built in. Had to work around this to meet team needs.
  • With GIT enabled, some features can only be done via git, while some need to be done via the portal.
Verified User
Anonymous
Read full review
Usability
No answers on this topic
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.
Verified User
Anonymous
Read full review
Support Rating
No answers on this topic
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
Verified User
Anonymous
Read full review
Alternatives Considered
No answers on this topic
Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a visual interface for designing ETL workflows, but our team found Azure Data Factory's interface more intuitive.
Verified User
Anonymous
Read full review
Return on Investment
No answers on this topic
  • Limiting the amount of data moving up and down from the cloud for cloud-native applications.
  • Overall simple to use interface which is actually easier for a first time ETL developer than SSIS.
Verified User
Anonymous
Read full review
ScreenShots

AnalyticsCreator Screenshots

Screenshot of AnalyticsCreator data sourcesScreenshot of AnalyticsCreator data environmentScreenshot of AnalyticsCreator DACPAC & SSIS packages.Screenshot of AnalyticsCreator data lineageScreenshot of AnalyticsCreator DWH wizardScreenshot of AnalyticsCreator source data