Why Enterprises Are Moving from Qlik to Looker
Qlik environments often struggle to scale as applications, scripts, and business logic pile up across teams. Looker offers a more centralized, governed, cloud-native alternative.
Fragmented Metrics
Qlik data models and set-analysis expressions sit with a shrinking pool of specialists. When they leave, so does the institutional knowledge of why a measure was built a certain way.
App Sprawl
Without a single governed layer, teams build their own QVDs and apps independently across departments — wasting effort and producing dashboards that don't agree with each other.
Cloud Disconnect
As data platforms move to BigQuery and modern warehouses, Qlik's associative engine and in-memory model increasingly sit apart from where the rest of the data stack already lives.
Rigid Infrastructure
Qlik Sense/QlikView server capacity is provisioned ahead of demand. Scaling for a busy quarter or a new business unit means a planning cycle, not a config change.
Dashport, our migration accelerator
Dashport is the AI-assisted accelerator behind our Qlik migration services. It replaces slow, app-by-app rebuilds with a structured pipeline that reads your existing Qlik apps, load scripts, and set-analysis expressions — and reconstructs them natively in LookML, with certified Looker consultants reviewing every step.
ASSESS
Inventory Qlik apps, load scripts, set-analysis expressions, data connections, and dependencies.
Organize
Map apps, data sources, and script dependencies into a structured migration roadmap.
MIGRATE
Rebuild data models and set-analysis logic natively in LookML — not a literal script-for-script translation.
ASSURE
Compare migrated metrics, filters, dashboards, and outputs side-by-side against the original Qlik apps.
Why Enterprises Replace Qlik with Looker
1
Governed Semantic Modeling
One definition of the truth, enforced across every explore.
2
Cloud-Native Analytics
Build on modern cloud data platforms such as BigQuery for scalable analytics.
3
Consistent Business Metrics
Reduce conflicting KPI definitions by creating reusable governed models.
4
Scalable Architecture
Support growing data volumes, users, and analytics workloads with a modern cloud architecture.
5
AI-Ready Data Foundation
Create a governed analytics layer that can support modern AI and conversational analytics use cases.
6
Self-Service Analytics
Empower business users to explore data without relying on developers.
SquareShift has Extensive Data & BI Migration Experience
20+
Successful
Datalake Migrations
195+
Tera bytes
of Data Migrated
2300+
ETL & ELT scripts
migrated in multiple tools
5000+
Reports, Dashboards and
visualizations migrated
Typical scope and timeline
Audit
1–2 Weeks
Inventory Qlik apps, load scripts, data connections, and usage-based prioritization.
Rebuild
3–6 Weeks
LookML model and set-analysis logic rebuilt; dashboards reconstructed on the new semantic layer.
Reconcile
1–2 Weeks
Side-by-side validation against original Qlik apps with business stakeholders.
Cutover
1 Week
Rollout, access setup, and handover — Qlik retired on your schedule, not ours.
Delivery Experience
Certified Looker Experts. Proven Migration Success.
SquareShift brings the migration discipline to protect continuity, the delivery depth to handle scale, and the Looker expertise to make the target environment useful from day one.