Kyvos is a semantic layer for AI and BI. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI with the goal of eliminating metric drift across BI tools, and grounding AI in governed semantic context for higher accuracy. Kyvos aims to deliver fast analytics at massive scale and high concurrency, including high-grain multidimensional analytics on the cloud, while reducing cloud spend.
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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
Kyvos Semantic Layer
SQL Server Integration Services (SSIS)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Kyvos Semantic Layer
SSIS
Free Trial
No
No
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
Kyvos Semantic Layer
SQL Server Integration Services (SSIS)
Features
Kyvos Semantic Layer
SQL Server Integration Services (SSIS)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Kyvos Semantic Layer
9.4
17 Ratings
14% above category average
SQL Server Integration Services (SSIS)
-
Ratings
Pixel Perfect reports
9.217 Ratings
00 Ratings
Customizable dashboards
9.517 Ratings
00 Ratings
Report Formatting Templates
9.617 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Kyvos Semantic Layer
9.4
16 Ratings
16% above category average
SQL Server Integration Services (SSIS)
-
Ratings
Drill-down analysis
9.516 Ratings
00 Ratings
Formatting capabilities
9.116 Ratings
00 Ratings
Integration with R or other statistical packages
9.315 Ratings
00 Ratings
Report sharing and collaboration
9.516 Ratings
00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Kyvos Semantic Layer
-
Ratings
SQL Server Integration Services (SSIS)
7.0
56 Ratings
16% below category average
Connect to traditional data sources
00 Ratings
9.056 Ratings
Connecto to Big Data and NoSQL
00 Ratings
5.043 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Kyvos Semantic Layer
-
Ratings
SQL Server Integration Services (SSIS)
6.8
56 Ratings
17% below category average
Simple transformations
00 Ratings
9.056 Ratings
Complex transformations
00 Ratings
4.755 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Kyvos Semantic Layer
-
Ratings
SQL Server Integration Services (SSIS)
7.5
54 Ratings
4% below category average
Data model creation
00 Ratings
9.028 Ratings
Metadata management
00 Ratings
6.035 Ratings
Business rules and workflow
00 Ratings
7.045 Ratings
Collaboration
00 Ratings
9.040 Ratings
Testing and debugging
00 Ratings
6.351 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Kyvos Insights has made it simple for us to work with all our customer data. Now, we get a clear picture of how we’re doing across locations and products, all thanks to its performant tech. It's the only tool that allowed us to explore five years of data and get answers quickly.
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.
We’re able to add more dimensions and measures to our reports without performance issues. Another great advantage of Kyvos Insights was the capability to migrate our workloads to GCP.
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
Kyvos has made a big difference by enabling fast data processing and interactive reporting. It has significantly reduced the time needed to gain insights and made it easier to expand our data operations without slowing down, greatly improving our efficiency.
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
to be honest we used all these platform along with Tableau. Its just each of them fulfil different use cases. Kyvos Insights is more about a platform to with with big data for investigations.
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
We’d love more customization options to adapt the platform to our specific needs. The initial setup was also a bit tricky, but once done, it runs smoothly.
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.