SalesQL vs Salesforce News
Side-by-side trajectory, velocity, and editorial themes.
SalesQL is shipping prospecting depth at a measured pace — saved searches, team seats, multilingual UI.
SalesQL focuses on contact enrichment and prospecting on top of LinkedIn data. The recent shipping cadence is sparse but coherent: saved searches and richer company filters in Prospector, extra seats for team subscriptions at $10/seat, Spanish UI as a first step toward multilingual support, expanded contact export fields, and earlier this year a Reverse Email Lookup capability inside CSV Enrichment. There's no visible move into AI-driven outreach or scoring — the product remains a data-extraction-and-enrichment tool, not a sequencing or signals platform.
SalesQL is making the existing surface more useful for power users (saved filter sets, exportable enrichment fields) and starting to widen its addressable market through team plans and localization. Compared to the broader prospecting category — Apollo, Clay, Lusha, ZoomInfo — SalesQL's positioning looks deliberately narrower: a focused enrichment tool that doesn't try to become a workflow engine. That can be a defensible niche or it can be a slow squeeze depending on how much pricing pressure the larger tools apply.
The most likely next moves are more language additions to Prospector, deeper export/integration capabilities (Salesforce, HubSpot, CRM-native pushes), and possibly an enrichment-API tier that widens the developer-facing surface. AI-assisted outreach features would be a natural step but the cadence so far doesn't suggest urgency.
Salesforce is using Informatica to position itself as the cross-cloud data layer for every agentic AI deployment.
On May 20, Salesforce released a coordinated set of Informatica announcements: headless data management available on AWS, Microsoft Foundry/Fabric, and Google Cloud simultaneously, plus the industry's "first unified agent and context catalog" and autonomous data management agents (CLAIRE Agent skills, MCP servers in AWS Agent Registry). In parallel, Agentforce Life Sciences crossed 140 industry-leading customers including Chiesi, Moderna, and Merck Animal Health, and the U.S. Air Force/Space Force signed a $72M Enterprise License Agreement under the $5.6B IDIQ contract. The cadence is heavy enterprise-deal news plus a structural platform repositioning of the Informatica acquisition.
Salesforce is reframing Informatica from a legacy data integration business into the trusted-data substrate beneath every agentic AI workload — explicitly cross-cloud (AWS, Microsoft, Google) rather than Salesforce-only. The MCP servers in AWS Agent Registry signal a willingness to be useful inside competitor platforms. Agentforce is consolidating in regulated verticals (life sciences, federal) where Salesforce's compliance posture beats horizontal AI platforms. The combination is a serious enterprise agentic-AI play: data quality + agent orchestration + vertical depth.
Expect a SAP-side equivalent of the Informatica cross-cloud announcement and continued vertical Agentforce launches (financial services, retail, healthcare beyond life sciences). The next directional move is likely Informatica's catalog becoming the discovery layer for Agentforce agents themselves, not just data.
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