Snowflake vs. SQL Server Integration Services

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Snowflake
Score 8.9 out of 10
N/A
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
SSIS
Score 6.5 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
Pricing
SnowflakeSQL Server Integration Services
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SnowflakeSSIS
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SnowflakeSQL Server Integration Services
Features
SnowflakeSQL Server Integration Services
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Snowflake
-
Ratings
SQL Server Integration Services
7.5
Ratings
11% below category average
Connect to traditional data sources00 Ratings8.80 Ratings
Connecto to Big Data and NoSQL00 Ratings6.20 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Snowflake
-
Ratings
SQL Server Integration Services
8.1
Ratings
1% below category average
Simple transformations00 Ratings8.50 Ratings
Complex transformations00 Ratings7.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Snowflake
-
Ratings
SQL Server Integration Services
7.4
Ratings
7% below category average
Data model creation00 Ratings8.60 Ratings
Metadata management00 Ratings7.10 Ratings
Business rules and workflow00 Ratings8.20 Ratings
Collaboration00 Ratings7.30 Ratings
Testing and debugging00 Ratings6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Snowflake
-
Ratings
SQL Server Integration Services
6.9
Ratings
16% below category average
Integration with data quality tools00 Ratings7.40 Ratings
Integration with MDM tools00 Ratings6.40 Ratings
Best Alternatives
SnowflakeSQL Server Integration Services
Small Businesses
Google BigQuery
Google BigQuery
Score 8.5 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Google BigQuery
Google BigQuery
Score 8.5 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Google BigQuery
Google BigQuery
Score 8.5 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
SnowflakeSQL Server Integration Services
Likelihood to Recommend
9.2
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
10.0
(0 ratings)
Usability
9.3
(0 ratings)
9.3
(0 ratings)
Performance
-
(0 ratings)
8.8
(0 ratings)
Support Rating
9.9
(0 ratings)
8.2
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
SnowflakeSQL Server Integration Services
Likelihood to Recommend
If you need a quick query, snowflake is the way to go. It's super simple and scalable; we were struggling before with Azure, and with Snowflake, everything runs smoothly, and we have more control over our schemas and warehouses. Snowflake, in my opinion, is the next step when you want to scale your business and manage data. If your company is still small, there may be cheaper options.
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Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
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Pros
  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
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  • SSIS works very well pulling well-defined data into SQL Server from a wide variety of data sources.
  • It comes free with the SQL Server so it is hard not to consider using it providing you have a team who is trained and experienced using SSIS.
  • When SSIS doesn't have exactly what you need you can use C# or VBA to extend its functionality.
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Cons
  • Add constraints for views and not just for tables
  • Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
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  • SSIS memory usage can be quite high particularly when SSI and SQL server are on the same machine
  • SSIS is not available on any environment other than Microsoft Windows
  • SSIS does not function with any database engine back-end other than Microsoft SQL Server
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Likelihood to Renew
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
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SSIS is responsible for running core business processed managing core business data. It can be managed, improved and expanded using minimal internal resources. It is also able to support all of our current data infrastructure. Replacing SSIS would be time consuming and costly with no apparent ROI.
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Usability
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
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SSIS has a drag and drop based developer interface, so it is relatively straight forward to get started. You can start to get into the weeds pretty quickly as your solution becomes more complex. However, most of the base functions are right in front of you for a developer. You can also set project and solution level parameters, so when you deploy to new environments, you don't have to jump into each package to change your variables and settings. (For example, default directory to ingest flat files).
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Performance
No answers on this topic
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
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Support Rating
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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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.
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Implementation Rating
No answers on this topic
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
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Alternatives Considered
Snowflake provides various features, such as integration with Python using Snowpark. The reporting feature that caters to your small reporting needs is Snowsight. The Snowflake data marketplace is where you can get multiple data for free and even some of the data which you can buy according to your needs. And the integration options with various tools like Sigma are add-ons.
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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
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Return on Investment
  • With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
  • Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
  • Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.
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  • 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.
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ScreenShots

Snowflake Screenshots

Screenshot of Snowflake Installation