Most teams don't do a hard cutover. They run NVECTA alongside Tealium initially — connecting to the same data sources and validating outputs in parallel. Tealium's tag management layer can stay in place if you want, since NVECTA ingests event streams natively. What typically changes first is the audience building and activation layer, where teams see the fastest ROI improvement. The full switch usually happens over 3–6 months as teams gain confidence and reduce their Tealium contract scope gradually.

Tealium's base contract is typically a six-figure annual commitment, with DataAccess, Tealium Predict, and extended data retention each billed separately. Most enterprises end up paying for capabilities bundled into packages they don't fully use. NVECTA uses usage-based, modular pricing — you pay for events processed, destinations activated, and compute consumed. Identity resolution, AI decisioning, journey orchestration, and measurement are all included. At equivalent scale, teams switching from Tealium typically see 35–45% cost reduction when comparing full-stack spend.

For most teams, the practical migration takes 4–6 weeks for the core use cases. Week 1–2: connect Nvecta to your existing data sources (warehouse, streaming pipeline, or Tealium's event stream directly). Week 3–4: rebuild your top audience segments in Nvecta's no-code builder — faster than expected because you're not reinventing logic, just moving it. Week 5–6: run both platforms in parallel, validate outputs, and begin activating campaigns via Nvecta. Nvecta provides a dedicated implementation engineer for Tealium migrations at no extra cost. You keep both contracts running until you're confident, then scale down Tealium as you scale up Nvecta.

Tealium Predict is a propensity scoring add-on — it generates purchase likelihood and churn risk scores that you can use in AudienceStream rules. It's useful for adding a predictive signal to a rules-based workflow. It is not an AI decisioning engine. It doesn't automatically test and optimise next-best-actions. It doesn't learn which channel, message, or timing works best for each customer. It gives you a score — what you do with it is still up to your team and your rules. Nvecta's reinforcement learning engine goes several layers deeper: it tests actions in the real world, observes outcomes, and continuously improves activation without human intervention.

Tealium EventStream ingests events quickly — that part is genuinely real-time. The problem is what happens next. Events need to land in EventStream, update the visitor profile in AudienceStream, match a rule condition, and then trigger a connector action. In practice that evaluation cycle takes 1–3 minutes under normal load. Nvecta decouples event processing from profile updates — behavioural events trigger decisions in a separate real-time stream with sub-second latency. For trading alerts, loan application follow-ups, cart abandonment, or fraud flags, the difference between 30 seconds and 3 minutes is whether the intervention works at all.

Tealium's 1300+ connector count is impressive, but the majority are tag-based JavaScript integrations built for web analytics and digital marketing tools — most of them US-centric. Nvecta has 500+ destinations, which covers every major tool in the Tealium catalog that Indian enterprises actually use, plus significantly deeper coverage of Indian martech: WhatsApp Business API, MoEngage, CleverTap, WebEngage, Netcore, Kaleyra, Exotel, all major Indian payment platforms, and the full BFSI tool ecosystem. If a destination isn't in our catalog, our team builds it — typically in under 2 weeks. Connector count is less important than whether the right connectors are maintained and production-ready for your market.