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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Progress DataDirect
Score 4.5 out of 10
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Progress Software offers DataDirect, a data connectivity solution which helps enterprises integrate data across relational, big data and cloud databases.
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Salesforce Data 360
Score 8.5 out of 10
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Salesforce Data 360 (formerly Salesforce Data Cloud, or 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)
Progress DataDirect
Salesforce Data 360
Editions & Modules
No answers on this topic
No answers on this topic
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)
Progress DataDirect
Salesforce Data 360
Free Trial
No
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Informatica PowerCenter (legacy)
Progress DataDirect
Salesforce Data 360
Features
Informatica PowerCenter (legacy)
Progress DataDirect
Salesforce Data 360
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter (legacy)
8.5
18 Ratings
3% above category average
Progress DataDirect
9.8
2 Ratings
17% above category average
Salesforce Data 360
7.8
9 Ratings
5% below category average
Connect to traditional data sources
9.018 Ratings
9.52 Ratings
7.99 Ratings
Connecto to Big Data and NoSQL
8.014 Ratings
10.01 Ratings
7.66 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
18 Ratings
8% below category average
Progress DataDirect
9.3
2 Ratings
14% above category average
Salesforce Data 360
7.7
10 Ratings
5% below category average
Simple transformations
8.018 Ratings
9.52 Ratings
8.510 Ratings
Complex transformations
7.018 Ratings
9.02 Ratings
7.010 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
18 Ratings
5% above category average
Progress DataDirect
9.7
2 Ratings
22% above category average
Salesforce Data 360
7.8
10 Ratings
0% below category average
Data model creation
9.015 Ratings
9.52 Ratings
8.210 Ratings
Metadata management
8.016 Ratings
9.52 Ratings
7.99 Ratings
Business rules and workflow
9.018 Ratings
9.52 Ratings
7.910 Ratings
Collaboration
6.116 Ratings
10.01 Ratings
7.610 Ratings
Testing and debugging
9.017 Ratings
9.52 Ratings
7.410 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
Hybrid Data Pipeline lets users consume or share data in can timely and compliant manner regardless of the application they use or the location of the data. It has defined a stringent set of policies and practices around product development and distribution. Enables customers to consume their data in your application using their BI tool of choice.
Great tool for client management, sales tracking, cases studies. Using is as the source of truth for all client communication. Allowing more integration options for cc and ACH payments. Right now the options are limited and only integrate with strict processing capabilities that are not always in the businesses best interest.
Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
Great documentation and customer support.
It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 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.
Most of the daily use features, are very usr friendly, intuitive, every end user can learn how to manage and operate basic activities such as enter information, send an email, send a campaign, create an email marketing template, run a report on the renewals for the month, open and close a support case, create new account or a new contact, etc
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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.
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
we have evaluated Snowflake, adobe rt-cdp as well. They also offer a very strong capabilities but the Data 360 is more suitable for us because of the same Salesforce ecosystem. The main key factor is without any custom code we were able to include it into our automations. And ofcourse with agentforce already in plans, we had to pick Data 360
The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
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