Azure Data Factory vs. Striim

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Striim
Score 8.3 out of 10
N/A
Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.
$4,400
per month per 100 million Striim events
Pricing
Azure Data FactoryStriim
Editions & Modules
No answers on this topic
Striim Cloud Enterprise Platform
$4,400
per month per 100 million Striim events
Striim Platform
$20,000
per year per VCPU
Offerings
Pricing Offerings
Azure Data FactoryStriim
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data FactoryStriim
Considered Both Products
Azure Data Factory
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 …
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 …
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.
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.
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 …
Striim
Chose Striim
Faster, checkpointing better. CDC works well. The loading is faster. Easy upgrade and installation. Uses less resource.
Features
Azure Data FactoryStriim
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
9.0
Ratings
7% above category average
Striim
10.0
Ratings
18% above category average
Connect to traditional data sources9.00 Ratings10.00 Ratings
Connecto to Big Data and NoSQL9.00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.5
Ratings
4% above category average
Striim
8.9
Ratings
9% above category average
Simple transformations9.00 Ratings10.00 Ratings
Complex transformations8.00 Ratings7.80 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.2
Ratings
10% below category average
Striim
8.5
Ratings
6% above category average
Data model creation8.00 Ratings8.40 Ratings
Metadata management7.00 Ratings8.40 Ratings
Business rules and workflow7.00 Ratings9.00 Ratings
Collaboration6.00 Ratings7.80 Ratings
Testing and debugging7.00 Ratings7.20 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
7.5
Ratings
8% below category average
Striim
9.5
Ratings
16% above category average
Integration with data quality tools7.00 Ratings9.00 Ratings
Integration with MDM tools8.00 Ratings10.00 Ratings
Best Alternatives
Azure Data FactoryStriim
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
Azure Data FactoryStriim
Likelihood to Recommend
9.0
(0 ratings)
8.8
(0 ratings)
Support Rating
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
Azure Data FactoryStriim
Likelihood to Recommend
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.
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Below samples are the well suited use cases; - Change data capture feature seamlessly works on popular RDMS. You can make enrichments on several data sources within the same Striim application. - You can install stand alone agents and start streaming log files to Striim servers. This is mainly useful for security operations or audit trail use cases.
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Pros
  • 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
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  • GoldenGate Trail reader which iss faster than Oracle CDC. It does not used logminer, hence there is no load on source Oracle database.
  • Easy installation and upgrade in 5 minutes
  • Support is very good. Fast and user friendly.
Read full review
Cons
  • 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.
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  • License a bit expensive
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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.
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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
Read full review
No answers on this topic
Alternatives Considered
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.
Read full review
Faster, checkpointing better. CDC works well. The loading is faster. Easy upgrade and installation. Uses less resource.
Read full review
Return on Investment
  • 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.
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  • We got the license at a discount price
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ScreenShots