Qrvey

Name: Qrvey
Brand: Qrvey

Embedded analytics purpose-built for SaaS. Deliver customized analytics experiences faster with lower development costs.

Est 2016|Raised $21.8M|3 Ref Customers

LinkedIn 4K|Web traffic 4K|FTEs 68|HQ Tysons Corner, Virginia, US

01Competitive Landscape

Narrative analysis

Areas of relative strength indicated by marketing materials and customer feedback: - Focused positioning for multi-tenant SaaS embedding and tenant-aware features. - Deploy-into-customer-cloud option, which can be relevant for buyers that require infrastructure control. - Vendor-described flat-rate licensing model could be advantageous for use cases with large external user counts if contract terms reflect the advertised scope. Areas where competitors may be stronger: - Security and compliance transparency: some competitors publish dedicated trust centers and compliance attestations more visibly. - Proven scalability at extreme scale: larger incumbents have broader public footprints and reference customers at very large scale. - Ecosystem depth: larger vendors typically have more integrators, templates, and community resources. Pricing comparison reality: - Looker: Google publishes edition frameworks, but actual costs depend on contract negotiations and user types. - Tableau: traditionally uses per-user tiers that can be expensive for large external user bases. - Luzmo: publishes entry-level pricing that reduces initial budgeting uncertainty. - Qrvey: marketing materials emphasize flat-rate and unlimited usage, but no dollar figures are publicly listed; buyers must engage the vendor for firm pricing. Adoption trends / market signals: - Peer engagement and public mindshare indicators suggest Qrvey is a smaller player relative to large incumbents, based on public engagement data rather than market share.

	Qrvey	Looker (Google Cloud core)	Luzmo
Starting Price	Not publicly listed ("Request Pricing")	Pricing frameworks published by Google, but final cost depends on contract and usage	Public entry-level monthly pricing (published entry offering at an entry-level monthly price)
Best For	SaaS vendors needing multi-tenant embedded analytics with control over deployment in their cloud	Organizations aligned with Google Cloud and using a semantic modeling approach (LookML)	Teams seeking transparent embedded analytics pricing with packaged self-service options
Key Strength	Orientation to multi-tenant embedded analytics; option to deploy into customer cloud; vendor-described flat-rate licensing model	Established semantic modeling and integration with Google Cloud ecosystem	Public entry pricing that aids budgeting and procurement
Key Weakness	Public pricing figures are not available; review excerpts indicate potential performance issues on very large datasets; public security attestations were not located in the reviewed materials	Licensing and seat models can be complex and expensive for external user bases	Published pricing tiers may limit scale for very large customer bases

01Competitive Landscape

Narrative analysis

Areas of relative strength indicated by marketing materials and customer feedback:

Focused positioning for multi-tenant SaaS embedding and tenant-aware features.
Deploy-into-customer-cloud option, which can be relevant for buyers that require infrastructure control.
Vendor-described flat-rate licensing model could be advantageous for use cases with large external user counts if contract terms reflect the advertised scope.

Areas where competitors may be stronger:

Security and compliance transparency: some competitors publish dedicated trust centers and compliance attestations more visibly.
Proven scalability at extreme scale: larger incumbents have broader public footprints and reference customers at very large scale.
Ecosystem depth: larger vendors typically have more integrators, templates, and community resources.

Pricing comparison reality:

Looker: Google publishes edition frameworks, but actual costs depend on contract negotiations and user types.
Tableau: traditionally uses per-user tiers that can be expensive for large external user bases.
Luzmo: publishes entry-level pricing that reduces initial budgeting uncertainty.
Qrvey: marketing materials emphasize flat-rate and unlimited usage, but no dollar figures are publicly listed; buyers must engage the vendor for firm pricing.

Adoption trends / market signals:

Peer engagement and public mindshare indicators suggest Qrvey is a smaller player relative to large incumbents, based on public engagement data rather than market share.

	Qrvey	Looker (Google Cloud core)	Luzmo
Starting Price	Not publicly listed ("Request Pricing")	Pricing frameworks published by Google, but final cost depends on contract and usage	Public entry-level monthly pricing (published entry offering at an entry-level monthly price)
Best For	SaaS vendors needing multi-tenant embedded analytics with control over deployment in their cloud	Organizations aligned with Google Cloud and using a semantic modeling approach (LookML)	Teams seeking transparent embedded analytics pricing with packaged self-service options
Key Strength	Orientation to multi-tenant embedded analytics; option to deploy into customer cloud; vendor-described flat-rate licensing model	Established semantic modeling and integration with Google Cloud ecosystem	Public entry pricing that aids budgeting and procurement
Key Weakness	Public pricing figures are not available; review excerpts indicate potential performance issues on very large datasets; public security attestations were not located in the reviewed materials	Licensing and seat models can be complex and expensive for external user bases	Published pricing tiers may limit scale for very large customer bases

Qrvey

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map