Salesforce Data Cloud (formerly Salesforce Genie) is a solution to put data to work for customers. It is deeply embedded in the Einstein 1 Platform, which means any external data lake or warehouse can now drive actions and workflows inside of the Salesforce CRM.
$108,000
per year per org
SSIS
Score 6.5 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
N/A
Pricing
Salesforce Data Cloud
SQL Server Integration Services
Editions & Modules
Data Cloud for Marketing
$108000
per year per org
No answers on this topic
Offerings
Pricing Offerings
Salesforce Data Cloud
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
Salesforce Data Cloud
SQL Server Integration Services
Features
Salesforce Data Cloud
SQL Server Integration Services
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Salesforce Data Cloud
5.5
Ratings
42% below category average
SQL Server Integration Services
7.5
Ratings
11% below category average
Connect to traditional data sources
6.00 Ratings
8.80 Ratings
Connecto to Big Data and NoSQL
5.00 Ratings
6.20 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Salesforce Data Cloud
6.0
Ratings
30% below category average
SQL Server Integration Services
8.1
Ratings
1% below category average
Simple transformations
6.00 Ratings
8.50 Ratings
Complex transformations
6.00 Ratings
7.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Salesforce Data Cloud
7.2
Ratings
10% below category average
SQL Server Integration Services
7.4
Ratings
7% below category average
Data model creation
7.00 Ratings
8.60 Ratings
Metadata management
9.00 Ratings
7.10 Ratings
Business rules and workflow
6.50 Ratings
8.20 Ratings
Collaboration
6.50 Ratings
7.30 Ratings
Testing and debugging
7.00 Ratings
6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Being a mid sized organization, the costing is achievable, but can’t say for those of startups. So I believe not suitable for small scale organizations and very well suited for large data analytics companies to gain market. Also, the maintenance is slightly difficulty and support for the product is comparatively slower than other similar products.
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.
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.
it is easy to use after you get the hang of it. If you have an internal team of developers you will be able to maximise the usage a lot better. I would recommend it to people who need to organise data in a more unified way but I can’t speak to it from an infrastructure perspective as I’m not from the infrastructure team
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).
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.
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 like Salesforce Data Cloud because like mentioned before, it is easy to use, easy to generate reports, create workflows, keep track of customer data, sales data, house data, etc. You can also import excel sheets with customer data as well and it will create the fields for you which is nice
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
Salesforce Data Cloud has a positive impact on me as a realtor because it is easy to generate reports on customer data and see what is needed to be bumped to the next level. We have to earn a certain commission by the end of the year and it makes it easy to see how close you are
It has a positive impact on keeping track of customers because it is nice to have it all in one place which is a nice time saver
I like that you can even see customer info from other agents making it nice to compare and try and pass others
Makes the customers journey smooth sailing because everything is in one place
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.