Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.
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Salesforce Data Cloud
Score 8.1 out of 10
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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
Pricing
Informatica PowerCenter (legacy)
Salesforce Data Cloud
Editions & Modules
No answers on this topic
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)
Salesforce Data Cloud
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
Informatica PowerCenter (legacy)
Salesforce Data Cloud
Features
Informatica PowerCenter (legacy)
Salesforce Data Cloud
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter (legacy)
8.5
Ratings
1% above category average
Salesforce Data Cloud
5.5
Ratings
42% below category average
Connect to traditional data sources
9.00 Ratings
6.00 Ratings
Connecto to Big Data and NoSQL
8.00 Ratings
5.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
Ratings
8% below category average
Salesforce Data Cloud
6.0
Ratings
30% below category average
Simple transformations
8.00 Ratings
6.00 Ratings
Complex transformations
7.00 Ratings
6.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
Ratings
3% above category average
Salesforce Data Cloud
7.2
Ratings
10% below category average
Data model creation
9.00 Ratings
7.00 Ratings
Metadata management
8.00 Ratings
9.00 Ratings
Business rules and workflow
9.00 Ratings
6.50 Ratings
Collaboration
6.10 Ratings
6.50 Ratings
Testing and debugging
9.00 Ratings
7.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica Powercenter is the centerpiece of our overall enterprise data warehouse strategy. It's a critical enablement to ensure we can feed in multiple data stream and transform them into digestible data within our data warehouse. With its flexible capabilities and API availability, we were able to feed in industry standard data format as well as home grown data structure. Overall, we are very pleased with their capability and contribution to our data warehouse strategy.
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.
One of the challenges of PowerCenter is the lack of integration between the components and functionality provided by PowerCenter. PowerCenter consists of multiple components such has the repository service, integration service, metadata service. Considerable time and resources were required to install and configure these components before PowerCenter was available for use.
In order to connect to various data sources such as Netezza database or SAS datasets, PowerCenter requires the installation and configuration of separate plug-ins. We spent considerable time trouble-shooting and debugging problems while trying to get the various plug-ins integrated with PowerCenter and get them up and running as described in the documentation.
PowerCenter works well with structured data. That is, it is easy to work with input and output data that is pre-defined, fixed, and unchanging. It is much more difficult to work with dynamic data in which new fields are added or removed ad-hoc or if data format changes during the data ingest process. We have not been as successful in using PowerCenter for dynamic data.
One of the challenges of learning PowerCenter is that it is difficult to find documentation or publications that help you learn the various details about PowerCenter software. Unlike SAS Institute, Informatica does not publish books about PowerCenter. The documentation available with PowerCenter is sparse; we have learned many aspects of this technology through trial and error.
The tool is very flexible and will meet most, if not all, of your data transformation needs. It is an expert-level tool, so building your knowledge-base and user-base (and keeping that base healthy!) is very important. But it will pay off with strong data management and the ability to leverage that data in ways you haven’t thought of yet. Bottom line, data is money, and PowerCenter helps you monetize your data.
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
Positives; - Multi-user development environment. - The speed of transformation. - Seamless integration with other Informatica products. Negatives; - There should be fewer windows, to maintain developers' focus while using. You probably need two big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
Basically the two solutions have, more or less, the same functions and features.The difference, for me, is that ThreatQuotient make more features over the security and I think is oriented to a SOC enviroments. InformaticaExchange Connectors is oriented to the quality, integration and distribution of the data in order to ensure the reliability and access of data from different sources, as well as the integration in a single repository of enterprise data (External/internal)
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
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