IBM DataStage vs. Salesforce Data 360

DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.

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.

Incentivized

• Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
• Powerful tool to load large volumes of data.
• Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
• Allow us to synchronize and refresh data as much as needed.

Incentivized

• Allows use to bring external data into Salesforce as zero-copy
• Is able to present data using standard Salesforce reports familiar to our users
• Allows us to establish multiple relationships between our CRM data and the external data to contextualize the imported data.

Incentivized

• Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
• Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
• Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.

Incentivized

• pricing or costing visibilty, we can't estimate what would be consumption this month and suddenly we get surprised
• CI/CD can be improved, that looks a difficult and hard
• Also sandbox comes with many limitation so very hard to replicate production like environment to test

Incentivized

Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.

Incentivized

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

Incentivized

It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.

Incentivized

IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.

Incentivized

With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.

Incentivized

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

Incentivized

• It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
• Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
• Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.

• 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

Incentivized