Announcing Database Sync: structured, AI-ready data delivered straight to your database
April 2, 2025
Database Sync writes structured customer data from third-party integrations directly into your database using a unified schema, removing the need to build and maintain custom data pipelines. It is designed for applications that require fast, queryable access to normalized data for analytics, AI workloads, and customer-facing features.
TL;DR
- Database Sync writes normalized integration data directly into your database
- Removes the need for polling scripts, ETL pipelines, and custom sync infrastructure
- Supports both real-time updates (native webhooks) and scheduled syncs (virtual webhooks)
- Designed for analytics, AI pipelines, and customer-facing features that require fast data access
- Works alongside Unified API and Webhooks as a third data access pattern
- Keeps schemas consistent across integrations, reducing downstream complexity
Unified.to supports three methods for accessing customer data, depending on how your application needs to retrieve, process, or store it:
Whether you're building a SaaS platform, AI agent, or analytics engine, you can now choose the method that best fits your architecture:
- Unified API → Retrieve customer data on-demand or poll at set intervals
- Unified Webhooks → Sync historical data and receive real-time updates via Native or Virtual Webhooks directly to your API
- Unified Database Sync (New) → Write structured, AI-ready data directly to your database for high-performance use cases
What is Database Sync and when should you use it?
A new foundation for real-time, AI-first, and analytics-heavy applications
Database Sync builds on Unified.to's real-time unified API infrastructure, offering a direct path from third-party platforms into your database — without custom pipelines or additional infrastructure.
Unified.to's Database Sync:
- Writes normalized data directly to your database
- Supports major relational and non-relational databases: Postgres, MySQL, MongoDB, MSSQL, CockroachDB, and MariaDB
- Powers downstream workflows — from customer-facing dashboards to vector databases and AI agents
Behind the scenes, Unified.to handles the entire pipeline:
- Unified schema mapping across platforms
- Webhook ingestion (native or virtual)
- Scheduled syncs or real-time syncs
- Automatic table creation — we generate database tables based on our unified data models, including sub-tables for arrays and associations
- Ensures your data is always clean and AI-ready
No polling scripts. No ETL overhead. No infrastructure to maintain. Unified.to takes care of the full sync lifecycle — so your team can stay focused on building.
Native vs. virtual webhooks: flexible delivery, same result
Unified.to supports two delivery modes:
- Native webhooks: For platforms that support webhooks, we instantly sync updates to your database.
- Virtual webhooks: For platforms without native support, we virtualize webhooks through scheduled polling — offering near real-time updates with no added infrastructure.
Regardless of the source or delivery method, your database receives structured, normalized records — ready for querying, embedding, and downstream use.
Use cases: power AI-native and data-rich customer experiences
Teams can use Database Sync to build production-grade features that rely on fast, structured access to customer data. Here are some examples:
- AI copilots with real-time customer context
Sync CRM, support, or HR data into a vector database to power retrieval-augmented generation (RAG) agents that deliver relevant, personalized responses. - Embedded analytics and dashboards
Populate in-app dashboards with live data pulled from your customers' tools — without requiring them to manually export or upload anything. - AI-driven recommendations and personalization
Feed unified, structured customer data into your ML models to deliver smarter product experiences — from content suggestions to workflow automations. - Multi-source insights for end users
Aggregate data from disparate third-party platforms into a single view, enabling your product to provide customers with consolidated insights. - SaaS integrations as a product differentiator
Offer rich out-of-the-box integrations that sync directly to your backend — reducing latency, increasing stickiness, and speeding up onboarding.
Database Sync helps you move past the limitations of API polling and fragmented data access — giving your product direct access to your customers' normalized data.
When to use Database Sync
- You need fast, queryable access to customer data in your backend
- Your product depends on analytics, reporting, or AI pipelines
- You want to avoid building and maintaining ETL pipelines
- You need consistent schemas across multiple integrations
When not to use Database Sync
- You only need data occasionally (API is simpler)
- Your workflows are purely event-driven (webhooks are sufficient)
- You don't store or process data in your backend
Available now
Database Sync is now available in all Grow and Scale plans, and accessible during your 30-day free trial.
- Databases: Postgres, MongoDB, MySQL, MSSQL, MariaDB, CockroachDB
- AI Workflows: Built-in support for vector DBs and embedding models
- Sync Modes: Scheduled (Virtual) or real-time (Native)
How to access customer data with Unified
| Method | How it works | Best for |
|---|---|---|
| Unified API | Retrieve data on request via API calls | User-triggered actions and on-demand reads |
| Unified Webhooks | Receive event-based updates | Event-driven workflows and real-time triggers |
| Database Sync | Write data directly to your database | Analytics, AI pipelines, and backend processing |
Key takeaways
- Database Sync writes normalized integration data directly into your database
- It removes the need for custom pipelines and sync infrastructure
- It is best suited for analytics, AI workflows, and backend data processing
- Unified supports API, Webhooks, and Database Sync as complementary access patterns
Unified.to is data infrastructure for AI-native products
With Database Sync, Unified.to moves beyond integrations and into infrastructure — giving modern product teams a unified data layer for powering intelligent applications.
AI-native products don't just need API access — they need normalized, unified, and continuously updated data across platforms. Unified.to delivers that with:
- Unification across platforms — abstract away API differences with a consistent schema
- Normalization by default — clean, structured data that's immediately usable
- Multiple delivery modes — query via API, receive real-time events, or sync directly to your database
Whether you're building retrieval-augmented generation (RAG), embedding pipelines, or tools that act on customer data, Unified.to gives you everything you need to move fast — without integration complexity slowing you down.