Azure Data Factory vs. Zenysis

Azure Data Factory

Zenysis

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Azure Data Factory	Score 8.0 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
Zenysis	Score 0.0 out of 10	N/A	Zenysis is a data integration platform software that governments and international organizations can use to confront some of the biggest challenges facing humanity. The software helps them strengthen vital public health systems, respond to large-scale humanitarian emergencies, and tackle complex challenges with unprecedented precision and speed.	N/A

Pricing

Azure Data Factory

Zenysis

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Azure Data Factory	Zenysis
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

—

Contact vendor for pricing information.

More Pricing Information

Community Pulse
	Azure Data Factory	Zenysis
Considered Both Products	Azure Data Factory Raghuram Subramaniam Solution architect Chose Azure Data Factory Azure Data Factory is more of a universal pipeline. SAP BW is a tool offering good SAP connectivity but very limited third-party connectivity. The same is the case with BW4hana. Sap DataSphere is offering better connectivity with SAP sources, but not so good when compared to … Incentivized Helpful? Yoganand Shinde Data & Analytics Architect Chose Azure Data Factory Informatica is a great product. However, given the Azure ecosystem and the pay-as-you-go model's optimal cost, Azure Data Factory was our choice. Also, it is better on the data ingestion and orchestration side. For complex data transformation, we can consider technologies like … Incentivized Helpful? Verified User Anonymous Chose Azure Data Factory 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 … Incentivized Helpful? Rajarshi Maitra PMI™- ASM®, ACP® and CAPM® Director/Client Engagement Leader- P&C Insurance (Digital Transformation) Chose Azure Data Factory 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 … Incentivized Helpful? Gorthy Rohith Big Data Developer Chose Azure Data Factory Easier UI, Pipelines & Dataflows with various different sources. Incentivized Helpful? Niloofar Keshvari Nia IT Operations and Support Specialist Chose Azure Data Factory The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products. Incentivized Helpful? Marco Urrea DevOps Engineer Chose Azure Data Factory I'd chose data factory because its very easy to use, its UI is beautiful, it's library for .net is very useful and it lives within the microsoft ecosystem. Incentivized Helpful? Verified User Anonymous Chose Azure Data Factory Azure Data Factory is a relatively new player in the space, and its feature set marks it as such. It does not have the full features of a more mature product set such as any of the above. However, it does allow for the creation of ETL/ELT flows/pipelines with minimal initial … Incentivized Helpful?	Zenysis No answer on this topic

Features

Azure Data Factory

Zenysis

Data Source Connection

Comparison of Data Source Connection features of Product A and Product B
	Azure Data Factory 8.5 Ratings 2% above category average	Zenysis - Ratings
Connect to traditional data sources	9.00 Ratings	00 Ratings
Connecto to Big Data and NoSQL	8.00 Ratings	00 Ratings

Data Transformations

Comparison of Data Transformations features of Product A and Product B
	Azure Data Factory 7.8 Ratings 4% below category average	Zenysis - Ratings
Simple transformations	8.70 Ratings	00 Ratings
Complex transformations	7.00 Ratings	00 Ratings

Data Modeling

Comparison of Data Modeling features of Product A and Product B
	Azure Data Factory 6.3 Ratings 22% below category average	Zenysis - Ratings
Data model creation	4.40 Ratings	00 Ratings
Metadata management	5.50 Ratings	00 Ratings
Business rules and workflow	6.00 Ratings	00 Ratings
Collaboration	7.00 Ratings	00 Ratings
Testing and debugging	6.30 Ratings	00 Ratings

Data Governance

Comparison of Data Governance features of Product A and Product B
	Azure Data Factory 5.7 Ratings 34% below category average	Zenysis - Ratings
Integration with data quality tools	4.30 Ratings	00 Ratings
Integration with MDM tools	7.00 Ratings	00 Ratings

Best Alternatives
	Azure Data Factory	Zenysis
Small Businesses	Skyvia Score 10.0 out of 10	Skyvia Score 10.0 out of 10
Medium-sized Companies	IBM InfoSphere Information Server Score 8.0 out of 10	IBM InfoSphere Information Server Score 8.0 out of 10
Enterprises	IBM InfoSphere Information Server Score 8.0 out of 10	IBM InfoSphere Information Server Score 8.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Azure Data Factory	Zenysis
Likelihood to Recommend	7.3 (0 ratings)	- (0 ratings)
Usability	7.7 (0 ratings)	- (0 ratings)
Support Rating	7.0 (0 ratings)	- (0 ratings)

User Testimonials
	Azure Data Factory	Zenysis
Likelihood to Recommend	Azure Data Factory is a great data integration tool for developing a cloud data platform, especially within the Azure ecosystem. Azure Data Factory is very good for the Data Ingestion part. It can work for simple data transformation with its Data Flow, but it will also need cluster configuration, and there is some cost. Also, it is an excellent tool for orchestrating data pipelines. But for complex data transformations, you may need to use technologies like Databricks and PySpark. Incentivized Yoganand Shinde Data & Analytics Architect Read full review	No answers on this topic
Pros	It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination. We can use linked service in multiple pipeline/data load. It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool. Incentivized Rajarshi Maitra Director/Client Engagement Leader- P&C Insurance (Digital Transformation) Read full review	No answers on this topic
Cons	Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using. Does not yet have parity with SSIS as far as the transforms available. Incentivized Verified User Anonymous Read full review	No answers on this topic
Usability	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 Verified User Anonymous Read full review	No answers on this topic
Support Rating	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 Verified User Anonymous Read full review	No answers on this topic
Alternatives Considered	Azure Data Factory is more of a universal pipeline. SAP BW is a tool offering good SAP connectivity but very limited third-party connectivity. The same is the case with BW4hana. SAP Datasphere is offering better connectivity with SAP sources, but not so good when compared to adf. Power Center of Informatica is a legacy tool, and Anaplan is a planning tool with limited connectivity options. Incentivized Raghuram Subramaniam Solution architect Read full review	No answers on this topic
Return on Investment	Cost Savings: By automating our ETL processes with Azure Data Factory, we've reduced manual data handling by approximately 60%. This translates to savings from reduced man-hours and the overhead of maintaining legacy systems. Timeliness: Our report generation time has reduced by 70% with Azure Data Factory's scheduled pipelines. Faster insights mean quicker decisions for us, enabling our teams to capitalize on time-sensitive opportunities. We can easily share the data visualizations to all stakeholders. Incentivized Verified User Anonymous Read full review	No answers on this topic
ScreenShots		Zenysis Screenshots