Progress Software offers DataDirect, a data connectivity solution which helps enterprises integrate data across relational, big data and cloud databases.
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SSIS
Score 7.6 out of 10
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Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
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Pricing
Progress DataDirect
SQL Server Integration Services (SSIS)
Editions & Modules
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Pricing Offerings
Progress DataDirect
SSIS
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
Optional
No setup fee
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Community Pulse
Progress DataDirect
SQL Server Integration Services (SSIS)
Features
Progress DataDirect
SQL Server Integration Services (SSIS)
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Progress DataDirect
9.8
2 Ratings
17% above category average
SQL Server Integration Services (SSIS)
7.0
56 Ratings
16% below category average
Connect to traditional data sources
9.52 Ratings
9.056 Ratings
Connecto to Big Data and NoSQL
10.01 Ratings
5.043 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Progress DataDirect
9.3
2 Ratings
14% above category average
SQL Server Integration Services (SSIS)
6.8
56 Ratings
17% below category average
Simple transformations
9.52 Ratings
9.056 Ratings
Complex transformations
9.02 Ratings
4.755 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Progress DataDirect
9.7
2 Ratings
22% above category average
SQL Server Integration Services (SSIS)
7.5
54 Ratings
4% below category average
Data model creation
9.52 Ratings
9.028 Ratings
Metadata management
9.52 Ratings
6.035 Ratings
Business rules and workflow
9.52 Ratings
7.045 Ratings
Collaboration
10.01 Ratings
9.040 Ratings
Testing and debugging
9.52 Ratings
6.351 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Hybrid Data Pipeline lets users consume or share data in can timely and compliant manner regardless of the application they use or the location of the data. It has defined a stringent set of policies and practices around product development and distribution. Enables customers to consume their data in your application using their BI tool of choice.
As I mentioned earlier SQL Server Integration Services is suitable if you want to manage data from different applications. It really helps in fetching the data and generating reports. Its automation make it very easy and time efficient. It works well with large database as well. But it doesn't work well with real time data, it will take some time to gather the real time data. I would not recommend using it in a real time/fast-paced environment.
Connection managers for online data sources can be tricky to configure.
Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
Mapping destination using OLE DB command is difficult as destination columns are unnamed.
Excel or flat file connections are limited by version and type.
Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.
SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.
The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer
Without this, we would have to manually update a spreadsheet of our SQL Server inventory
We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.