Adverity is a fully-integrated data platform for automating the connectivity, transformation, governance & utilization of data at scale.
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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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VL OMNI
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
VL OMNI is a point to multi-channel integration partner for real-time accurate customer order data, shipment details, inventory, and prices. According to the vendor, this is how VL OMNI works: VL OMNI’s integrations work by connecting unique applications together (see diagram, below), normalizing the data between the applications, and applying customer's business rules to the data transformation. By approaching data…
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Pricing
Adverity
SQL Server Integration Services (SSIS)
VL OMNI
Editions & Modules
No answers on this topic
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No answers on this topic
Offerings
Pricing Offerings
Adverity
SSIS
VL OMNI
Free Trial
Yes
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
Yes
No
Yes
Entry-level Setup Fee
Optional
No setup fee
Required
Additional Details
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More Pricing Information
Community Pulse
Adverity
SQL Server Integration Services (SSIS)
VL OMNI
Features
Adverity
SQL Server Integration Services (SSIS)
VL OMNI
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Adverity
8.0
2 Ratings
3% below category average
SQL Server Integration Services (SSIS)
7.0
56 Ratings
17% below category average
VL OMNI
-
Ratings
Connect to traditional data sources
9.02 Ratings
9.056 Ratings
00 Ratings
Connecto to Big Data and NoSQL
7.02 Ratings
5.043 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Adverity
7.0
2 Ratings
15% below category average
SQL Server Integration Services (SSIS)
6.8
56 Ratings
18% below category average
VL OMNI
-
Ratings
Simple transformations
9.02 Ratings
9.056 Ratings
00 Ratings
Complex transformations
5.02 Ratings
4.755 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Adverity
8.1
2 Ratings
3% above category average
SQL Server Integration Services (SSIS)
7.5
54 Ratings
5% below category average
VL OMNI
-
Ratings
Data model creation
9.01 Ratings
9.028 Ratings
00 Ratings
Metadata management
8.02 Ratings
6.035 Ratings
00 Ratings
Business rules and workflow
9.02 Ratings
7.045 Ratings
00 Ratings
Collaboration
9.02 Ratings
9.040 Ratings
00 Ratings
Testing and debugging
5.52 Ratings
6.351 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Adverity is particularly useful if there is a large range of data sets that you want to combine to get an 'overall' view. Previously we had used Google Analytics, but found that this was too useful for our big client accounts that we were working on. So I think that if there is an individual who is responsible for analytics or data, and also a paid media team then this is a tool which is essential. For companies that have limited activity then I think this tool could potentially over-complicate for less reward.
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
Very good and organized data. Easy to use and good at communicating. Rarely run into problems and they are good at explaining when problems arise due to others api issues. Good notes and guides on how to use and very easy user interface to help there clients use there site.
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
Previously I had never really used a tool like this, only using software such as GA to look at any insights and review performance. So I think that the combined view of having all of the data sets (Which in my role I wouldn't always particularly have access to), was really useful. As an individual who was optimising our clients websites it meant that I was really able to prioritise what was important, but also have a great view of absolutely all activity that was happening
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
Adverity has saved hundreds of man hours per month in reporting and data aggregation. I can think of no solution we've onboarded that has saved so much human capital expense for so little effort in setup and maintenance.
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.