| What it does | The AI operational layer for the agentic enterprise
| Semantic context layer that helps AI agents understand your business data accurately
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| Stage | Established
| MVP
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| Founded | 2010
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| Based in | US
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| Pricing model | Paid
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| Pricing | SnapLogic offers Essential, Professional and Enterprise One packages with unlimited pipelines, data movement, and integrations at a predictable price. Premium Snap Packs and add-ons like AgentCreator, API Management, and AI Gateway are available a-la-carte. The company achieved 181% ROI with a payba
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| Key features | - Unlimited data movement and integrations
- Visual no-code integration builder
- Multi-LLM support including OpenAI, Azure OpenAI, Gemini and Bedrock
- Context-aware access policies and dynamic data protections
- SLIM Intelligent Modernizer for legacy system migration
- SnapGPT AI-powered integration copilot
- Enterprise MCP for agent tooling and orchestration
- API management with security controls and governance
| - Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
- Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
- Provides Web-UI, MCP server and REST APIs for accessing semantic context
- Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
- Role-level access controls and data classifications including PII, PHI and SPII
- Only reads metadata without accessing or moving actual data from systems
- Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
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| What makes it different | - Only platform combining agentic integration with applied AI for enterprise governance
- Truly unlimited data movement with no hidden pricing
- Hybrid deployment flexibility: cloud, on-premises, or hybrid with no lock-in
- Enterprise-grade governance and observability built in from day one
- Visionary in Gartner Magic Quadrant for iPaaS and Data Integration
| - Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
- Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
- Ensures consistent answers across all agents and teams using the same definitions and business logic
- Provides complete traceability and auditability of AI decisions with documented context and ownership
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 74 ● no change since last check | 8 ● no change since last check |
| Trust Flow (Majestic) | 19 | 1 |
| Citation Flow (Majestic) | 36 | 24 |
| Referring domains (Majestic) | 2042 | 29 |