Tilores 
Zingg Tilores vs Zingg
A side-by-side Identity Resolution comparison of Tilores and Zingg — capability coverage, pricing, and stack fit, with every recorded cell citing the vendors' own documentation. No referral fees; the data is ours.
Direct substitute — Most teams run one of these, not both.
Both products’ core job is identity resolution/profile stitching with data quality/deduplication, so running both is usually redundant.
Drafted by an AI model and checked by hand.
Switching takes real work. A judgement, not computed from the capability data.
Capability comparison
| Capability | Tilores | Zingg | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| On one record only 8 | |||||||||||
| Real-time Profile API | Core Real-time Profile APICore Search & Insights serves unified entities through a real-time GraphQL API. tilores.io/product/search-insights ↗ 15 Sept 2026 · AI-evaluated | — | |||||||||
| Agent Interface (MCP / Tool API) | Supported Agent Interface (MCP / Tool API)Supported MCP server provides protocol-native tools for Tilores workflows. tilores.io/content/mcp-server-for-identity-… ↗ 15 Sept 2026 · AI-evaluated | Not offered Agent Interface (MCP / Tool API)Not offered Searched documentation for MCP, tool APIs, and agent SDKs. docs.zingg.ai/latest ↗ Checked · 3 of 3 passes | |||||||||
| Composable / Warehouse-native CDP | Not offered Composable / Warehouse-native CDPNot offered Tilores describes itself as an identity layer beneath a CDP and contrasts it with warehouse-native approaches. tilores.io/customer-360 ↗ Checked · 3 of 3 passes | Supported Composable / Warehouse-native CDPSupported Zingg Community can build a composable CDP through warehouse-native identity resolution and customer 360 views. docs.zingg.ai/latest/faq ↗ 15 Sept 2026 · AI-evaluated | |||||||||
| Cross-device Matching | Supported Cross-device MatchingSupported E-commerce resolution links customer records across different devices using identity attributes. tilores.io/solutions/e-commerce ↗ 15 Sept 2026 · AI-evaluated | Not offered Cross-device MatchingNot offered Searched documentation for cross-device activity matching. docs.zingg.ai/latest ↗ Checked · 3 of 3 passes | |||||||||
| Data Transformation | Not offered Data TransformationNot offered Extract & Transform provides in-product normalization and enrichment, not SQL-based transformation tooling. tilores.io/product/extract-transform ↗ Checked · 2 of 3 passes | Supported Data TransformationSupported Transform and Match uses mapping match types to normalize categorical data before matching. docs.zingg.ai/latest/stepbystep/configuration/… ↗ 15 Sept 2026 · Verified by hand | |||||||||
| Event Routing | Supported Event RoutingSupported Resolved entity events flow to downstream warehouses, fraud platforms, and AI applications. tilores.io ↗ 15 Sept 2026 · AI-evaluated | Not offered Event RoutingNot offered Searched documentation for real-time event fan-out to multiple destinations. docs.zingg.ai/latest ↗ Checked · 3 of 3 passes | |||||||||
| Event Stream Ingestion | Supported Event Stream IngestionSupported Extract & Transform accepts event inputs including Kafka and webhooks. tilores.io/product/extract-transform ↗ 15 Sept 2026 · AI-evaluated | Not offered Event Stream IngestionNot offered Searched documentation for high-throughput event ingestion and buffering. docs.zingg.ai/latest ↗ Checked · 3 of 3 passes | |||||||||
| First-party Data Onboarding | Supported First-party Data OnboardingSupported Extract & Transform ingests first-party CRM, database, file, and event records. tilores.io/product/extract-transform ↗ 15 Sept 2026 · AI-evaluated | Not offered First-party Data OnboardingNot offered Searched documentation for onboarding offline or CRM data to digital identity. docs.zingg.ai/latest ↗ Checked · 3 of 3 passes | |||||||||
| On both records 5 | |||||||||||
Identity 1 · core on all
| |||||||||||
Governance 3 · graded apart
| |||||||||||
Customer data platform 1 · core on all
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Not offered means the evidence sweep read the vendor's documentation and did not find it — hover to see the page it checked. — means no verdict either way. Hover a recorded cell to read its evidence and source; a cell with no source says so, and each cell says whether an AI pass or a person set the grade.
Sources · 18 pages on the vendors' own sites
Choose Tilores if you need
On Tilores's record, not on Zingg's
- Real-time Profile API
- Pricing
- Free tier available
Choose Zingg if you need
On Zingg's record, not on Tilores's
Same jobs on record. Decide on price, and on how each connects to what you already run — drop both onto a canvas to see it.
- Pricing
- Free tier available
Tilores vs Zingg — FAQ
What is the difference between Tilores and Zingg?
Both are Identity Resolution tools. Tilores's record includes Real-time Profile API, which Zingg's does not; the two records cover the same jobs. The matrix above shows every recorded cell citing the vendors' own documentation.
Is Tilores or Zingg better?
Neither is universally better — it depends on your stack. Choose Tilores if you need Real-time Profile API; choose Zingg if its strengths matter more. Map both against your actual requirements rather than a generic feature count.
How do Tilores and Zingg compare on price?
Tilores: Free tier available. Zingg: Free tier available. Check each vendor's page for current rates.
Before you choose Tilores or Zingg, check what your stack already covers
Teams usually find the overlap is not where they expected. Name the tools you run and the Instant Stack Audit maps which ones duplicate capability — inside Identity Resolution and across the rest of the stack.
Takes about two minutes. Your overlaps and a savings estimate are free — no sign-up. An email address unlocks the costed roadmap.
Tilores or Zingg? Decide in your stack's context.
Drop both onto a canvas, see how each integrates with what you already run, and score them against your real requirements — not a generic feature list.
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