Salesforce has now completed its acquisition of Informatica, in a deal positioned as a way to strengthen Salesforce’s AI data foundation.
If you are an Informatica customer, that headline is not the end of the story. It is the start of a long, complicated chapter.
Informatica is no longer an independent data company. It is now one piece of Salesforce’s AI CRM story. That has real consequences for your data strategy, your AI roadmap, and your room to manoeuvre.
This is the moment to decide whether your data future should be tied to a CRM vendor’s stack, or whether you want an open, agentic data foundation that can serve every system you run, including Salesforce, on your terms.
When your data strategy becomes your CRM strategy
Salesforce has been clear about its intent. Informatica is there to help power its AI platform, from Einstein to Agentforce, and to deepen the data foundation inside the Salesforce ecosystem.
If you are all-in on Salesforce for CRM and willing to align everything else to that decision, you may welcome that. But most enterprises do not live in a single-vendor world. You run SAP and Oracle. You run AWS and Azure. You have Snowflake, Databricks, data lakes, and homegrown systems that are not going away.
In that reality, the risk is simple. Over time, your data strategy can collapse into your CRM strategy. Informatica features and R&D will naturally follow Salesforce-first priorities. Integration depth, pricing, and innovation will lean toward the Salesforce stack, not toward neutrality across the rest of your landscape.
That may be good for Salesforce. It is less obviously good for you.
Three hard questions Informatica customers need to ask now
You do not need another “sky is falling” blog. You do need clear questions to put on the table before you sign the next renewal.
1. What happens to my independence and data?
For years, Informatica’s value proposition included being a neutral layer that could sit above multiple apps and clouds. That independence is now gone. Informatica is owned by one of your application vendors, and that vendor has a very specific interest: strengthening its own AI CRM position.
You should expect:
Stronger integration to Salesforce Data Cloud and Agentforce.
More packaging that ties data capabilities to Salesforce licences.
Subtle and not-so-subtle pressure to choose “one CLOUD platform” for data, integration, and AI.
The question is not whether that strategy makes sense for Salesforce. It is whether it gives you leverage, choice, and control.
2. Will innovation follow my roadmap, or Salesforce’s?
Look at the pattern with other major Salesforce acquisitions like MuleSoft, Tableau and Slack. Over time, roadmaps are tuned toward Salesforce-centric use cases and cross-sell, not toward being best-of-breed, stand-alone platforms in their own right.
Analysts are already calling out the likely direction with Informatica: focus on fuelling Salesforce AI with ingestion, quality, and metadata, rather than expanding neutral, multi-cloud capabilities.
If your AI and data strategies extend beyond Salesforce, you need to be realistic about what this means. Do you want your integration and data quality roadmap set by the needs of a CRM vendor, or by the full range of systems and use cases you run?
3. How long will I be living in a transition state?
Many Informatica customers are already dealing with big shifts, such as end-of-support timelines for older products and pressure to move to new cloud offerings. PowerCenter 10.5, for example, faces a March 31, 2026 end-of-support date, which is already forcing re-platforming decisions.
Add a full platform acquisition on top, and you get years of:
Portfolio simplification and SKU changes.
Product overlaps with existing Salesforce tools.
New “strategic” directions that may or may not match how you actually work.
Meanwhile, you are trying to move quickly on AI. Agentic AI, in particular, will not wait for multi-year integration projects and rebranding exercises.
This is why I say the real work starts now. Not for Salesforce. For you.
You do not have to tie your data future to your CRM
At Qlik, we take a different view. Your data strategy should remain open, even as you invest in AI and modern architectures.
That is what we built Qlik Talend Cloud, Qlik Data Products, Qlik Trust Score for AI, and Qlik Open Lakehouse to do, and why we are investing so heavily in an agentic experience that sits across your ecosystem, not inside one app.
What you should do now
If you rely on Informatica today, here are three practical steps I would take in your position:
1. Map your exposure
Inventory where Informatica sits in your critical AI and analytics pipelines, especially around regulatory and customer-facing use cases.
Flag anything tied to products with looming end-of-support or heavy customisation.
2. Create an open alternative path
Create a path to openness that fits your reality – on-prem, hybrid, or cloud.
We are perfectly happy if that means keeping core systems on-prem while you open up the architecture around them.
Use Qlik Trust Score for AI to baseline data trust on those pipelines, so you can compare outcomes with your current environment.
3. Design for the agentic future, not just a like-for-like migration
Treat this as an opportunity to move from jobs and feeds to data products and cloud or agentic workflows.
Start experimenting with Qlik’s agentic experience and Qlik Answers, using your own data, so you can see how trusted, contextual intelligence changes the day-to-day work of your teams.
Salesforce and Informatica have made their move. Now it is your turn.
If you want an open, trusted, agentic data foundation that serves every part of your business, not just one vendor’s ecosystem, you do not have to do it alone. Our ecosystem of experts, from Qlik Professional Services to a broad range of partners, can help you define that path and move at the pace that makes sense for you.
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Executive Insights and Trends