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.
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Cyfe
Score 4.0 out of 10
N/A
Cyfe is all-in-one dashboard software for analyzing data from online services like Google Analytics, Salesforce, AdSense, MailChimp, Amazon, Facebook, etc, from Traject.
$29
per month
Pricing
Azure Data Factory
Cyfe, by Traject
Editions & Modules
No answers on this topic
Starter
$29
per month
Standard
$39
per month
Pro
$65
per month
Premier
$119
per month
Offerings
Pricing Offerings
Azure Data Factory
Cyfe
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Data Factory
Cyfe, by Traject
Features
Azure Data Factory
Cyfe, by Traject
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
8.5
10 Ratings
3% above category average
Cyfe, by Traject
-
Ratings
Connect to traditional data sources
9.010 Ratings
00 Ratings
Connecto to Big Data and NoSQL
8.010 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
7.8
10 Ratings
4% below category average
Cyfe, by Traject
-
Ratings
Simple transformations
8.710 Ratings
00 Ratings
Complex transformations
7.010 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
6.3
10 Ratings
22% below category average
Cyfe, by Traject
-
Ratings
Data model creation
4.57 Ratings
00 Ratings
Metadata management
5.58 Ratings
00 Ratings
Business rules and workflow
6.010 Ratings
00 Ratings
Collaboration
7.09 Ratings
00 Ratings
Testing and debugging
6.310 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
5.7
10 Ratings
34% below category average
Cyfe, by Traject
-
Ratings
Integration with data quality tools
4.310 Ratings
00 Ratings
Integration with MDM tools
7.09 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Azure Data Factory
-
Ratings
Cyfe, by Traject
6.6
28 Ratings
21% below category average
Pixel Perfect reports
00 Ratings
6.817 Ratings
Customizable dashboards
00 Ratings
4.028 Ratings
Report Formatting Templates
00 Ratings
9.120 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Azure Data Factory
-
Ratings
Cyfe, by Traject
7.2
26 Ratings
11% below category average
Drill-down analysis
00 Ratings
8.715 Ratings
Formatting capabilities
00 Ratings
8.120 Ratings
Integration with R or other statistical packages
00 Ratings
10.09 Ratings
Report sharing and collaboration
00 Ratings
2.026 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Azure Data Factory
-
Ratings
Cyfe, by Traject
5.0
23 Ratings
49% below category average
Publish to Web
00 Ratings
4.015 Ratings
Publish to PDF
00 Ratings
4.021 Ratings
Report Versioning
00 Ratings
6.89 Ratings
Report Delivery Scheduling
00 Ratings
1.017 Ratings
Delivery to Remote Servers
00 Ratings
9.04 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
Cyfe might be for you if you are looking for a cost-effective way to display all of your marketing metrics in one place. If you are looking for a detailed, fine-tuned, niche, or extremely specific metrics, this might not be the best solution. Cyfe is good for a general health check-up of marketing, but not a finely tuned examination.
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
I'd love to see additional functionality to customize colors. The light/dark option is very nice, but a little more flexibility in the colors would go a long way, especially if it was possible at the dashboard level rather than just the account level. Along the same lines, being able to customize the charts a little more, for example being able to show an x-axis on single data type graphs, could make them easier to read in some cases.
Being able to choose to report on converted clicks or conversions in AdWords would be helpful.
Needs the ability to show the date range on the shared URL dashboards. Would be even better if the date range was adjustable on that view, too.
It has become a part of our internal tools so unless a competitor comes out with similar functionality as a similar price point it is unlikely that we would not renew. One area that would cause us not to renew would be if a competing service came out with more third-party integrations that match our needs. Price at this point is no longer an issue as it would allow us to automate a somewhat manual process that we have now connecting Cyfe widgets to Google Sheets.
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.
I gave it a rating of 7 because it does a good job at what it does, but there are missing that are missing which I would have benefited from. For instance, if I was able to drill down more on the specific metrics I was able to see, that would have been helpful.
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
Because I had a very minor question and I was able to speak directly to the founder through LinkedIn and through email. I know that as they grow this may not always be an option but the fact that he made himself available to answer my questions said a lot about his passion for the product.
Cyfe is a 15 minutes implementation, then some time to get your data sources created. This is an easy one person job that will not result in down time or unnecessary wasted man hours.
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.
The Salesforce dashboard is comparably flexible and intuitive, but designed more to its internal CRM focus. SumAll shares the social media dashboard capabilities, but lacks all others. Its interesting feature is side-by-side graph analysis for cross-channel performance. Cyfe might borrow from SumAll's default weekly email summary of performance from the dashboard, but implementation could be too complex. Nuvi dashboard is exclusively for social media marketing, but lacks Cyfe's flexibility for third party integration and window customization settings.