Let’s discuss connecting Streak to Looker.
Book a meeting
Streak - Looker.
Connect Streak to Looker through Jourier's bespoke data layer. Customer-owned pipeline, hosted on your cloud or by Jourier.
Connect Streak to Looker through Jourier's bespoke data layer. Customer-owned pipeline, hosted on your cloud or by Jourier.
Jourier's Data Hub sits between Streak and Looker. Streak data flows into the layer continuously (real-time CDC where supported, webhooks and polling otherwise), gets modeled to your business, and surfaces in Looker as a clean dataset your team can build pipeline analytics, conversion-funnel reporting, and customer 360 dashboards on top of.
For teams that want more than a packaged BI experience, the same Data Hub feeds a bespoke data application coded in React and TypeScript, owned by your team. Looker runs alongside the bespoke application or in front of it, depending on what each part of the business needs.
Streak stores customers in deeply nested object graphs — accounts to opportunities to line items to activities — and the API rate-limits aggressive extraction. Jourier's pipeline reconstructs the graph in the warehouse as flat, query-ready tables and stays inside Streak's daily call budget through CDC-first patterns and webhook fallback.
Looker's persistent derived tables and aggregate awareness optimize Streak query cost as the audience grows. Jourier configures these per workload so frequently-asked queries hit pre-computed tables and rare analytical questions still touch the full data — the cost stays proportional to the actual analytical pattern.
Result: Looker reports on Streak read from a layer engineered for pipeline analytics, with definitions consistent across reports and across the rest of the operational stack.
Looker is a per-seat licence model that becomes punishing as your business grows. Streak reporting locked behind Looker means every business stakeholder needs a seat, and every change goes through Google's pace. Jourier's bespoke data application, coded in React and TypeScript and owned by your team, replaces Looker for Streak on your timeline. The same Data Hub feeding Looker today feeds the new application tomorrow.
Yes. Jourier builds a bespoke Streak → Looker integration through the Data Hub layer. Streak data is modeled, kept current, and exposed to Looker as a clean dataset your team can build pipeline analytics on top of. The same modeled tables can feed coded React applications and AI assistants alongside Looker, so the numbers stay consistent regardless of which surface a stakeholder uses. No connector licence fees if you self-host the data layer.
Where Streak supports change-data-capture, yes — updates surface in Looker within seconds. Where it doesn't, scheduled polling and webhooks keep the layer current at the cadence the business actually needs (5 minutes for operational dashboards, hourly for finance, daily for archival). Time to first sync is typically instant to one day. The Data Hub holds the canonical state, so reports and dashboards never read directly from Streak's API.
Bespoke project, scoped to the Streak workflows that matter and the Looker reports your team actually uses. Pricing is project-based, not subscription-based — a fixed-fee build for the data layer + the Looker dataset, then optional managed-services if you want Jourier to run it. No per-seat licences from Jourier, no platform fees if you self-host. Looker licences are paid directly to Google; we never mark them up.
You do. Pipelines, data model, semantic layer config, Looker dataset definitions, documentation: all yours. Self-host or have us host. Hand it to another vendor whenever you want, or take it over with your own team. Jourier delivers everything as code in a repository you own, with runbooks for how to operate it. No lock-in, no per-engagement licence.
Yes. The Data Hub feeds Looker today, and the same layer feeds open-source dashboards (Apache Superset, Metabase, Grafana), a bespoke React application, or a different vendor BI tool tomorrow. The Streak side of the integration — the pipeline, the modeling, the access controls — is unchanged when you switch front-ends. Most of our customers keep multiple consumers running in parallel during a transition window.
First sync of Streak data is typically instant to one day. A scoped engagement covering Streak plus the Looker reports that matter usually runs four to eight weeks. Bigger transformations are split into phases, each shipping value before the next begins. Jourier handles the Streak pipeline, the modeling, the Looker dataset, and the access controls. Your team validates the reports and trains the analysts.
Usually yes. Most existing Looker reports become thin wrappers over the new modeled tables — the report logic stays, the data source switches from a direct Streak connector to the Data Hub. Jourier audits the existing Looker workspace, identifies what's worth keeping, and rebuilds report-by-report against the new model. Reports that were workarounds for Streak's data shape get simplified or retired.
Permissions live in the Data Hub, not in Looker. Each Looker user authenticates against your identity provider; the dataset that Looker reads is filtered server-side based on the user's role, region, or department. Looker's own row-level security still works on top of this. Result: a sales rep in Helsinki and one in New York hitting the same Looker dashboard see different rows automatically, with the rule defined once in the layer.
Let’s discuss connecting Streak to Looker.
Book a meeting