Canonical: https://molo17.com/solutions/customer-360/ Markdown mirror: https://molo17.com/solutions/customer-360/index.md Title: Customer 360 solution · Gluesync · MOLO17 Description: Bring CRM, ERP, and NoSQL records about the same customer into one continuously updated view—by replicating them into a shared target, or querying them in place through Query Forge. Solution · Unified customer data # Assemble one live customer record Bring CRM, ERP, and NoSQL records about the same customer into one continuously updated view—by replicating them into a shared target, or querying them in place through Query Forge. [Explore Customer 360](#how-it-works) [Talk to our team](/contacts/?topic=data-architecture) 1. 01 Define the joining key 2. 02 Replicate into one target 3. 03 Query across systems in place The challenge ## The customer exists in five systems Identity, orders, invoices, and support history sit in different engines with different keys, and the joined view is usually rebuilt on a schedule. 01 / Identity ### Keys do not line up The same customer carries a different identifier in every system, and some source tables have no primary key at all. 02 / Timing ### The view is assembled overnight Sales and service teams work from a snapshot that no longer matches what the operational systems recorded today. 03 / Effort ### Each source is another pipeline Every added system brings new extracts, staging tables, and reconciliation logic to maintain and explain. How it works ## Converge the records, keep them current Gluesync replicates each contributing system into a shared target under a key you define, and Query Forge answers cross-system questions when a copy is not wanted. 1. 01 Align ### Define the joining key Logical keys cover source tables without a primary key; custom document keys compose the target identifier from several fields. 2. 02 Converge ### Replicate into one target A pipeline per contributing system feeds the shared customer store continuously, with entities grouped for consistent settings. 3. 03 Ask ### Query across systems in place Query Forge serves read-only cross-agent SQL through one JDBC endpoint when the answer does not justify a copy. Gluesync capabilities ## Identity, convergence, and access in one platform The same Core Hub governs keys, mappings, and grouping for every system contributing to the customer view. 01 ### Keys that survive the join Give every replicated record a stable identifier even when the source table does not provide one. - Logical keys from the Fields Editor - Composed keys from multiple fields - Prefix, suffix, and separator control [Logical keys](https://docs.molo17.com/gluesync/latest/core-hub/logical-keys.html) [Custom document keys](https://docs.molo17.com/gluesync/latest/core-hub/custom-document-keys.html) 02 ### Many sources, one target Run each contributing system as its own pipeline while managing related entities together. - Groups for shared entity settings - Chains for dependent entities - Per-entity play and pause [Groups and Chains](https://docs.molo17.com/gluesync/latest/core-hub/groups-and-chains.html) 03 ### Read across without copying Answer cross-system customer questions through the federated SQL gateway instead of a central raw-data copy. - One jdbc:gluesync endpoint - Filter and projection pushdown - Read-only, permission-bound access [Explore Query Forge →](/query-forge/) [Federated query gateway](https://docs.molo17.com/gluesync/latest/core-hub/query-forge-federated-query-gateway.html) Related solutions ## Continue exploring Gluesync use cases [ Solution · Federated data access ### Federated Queries Run read-only SQL across isolated Gluesync agents through one JDBC endpoint—without first copying raw data into a central warehouse. Explore Federated Queries →](/solutions/federated-queries/)[ Solution · Real-time integration ### CDC Streaming Capture committed database changes from transaction logs and deliver them continuously to databases, event streams, and data platforms—without polling full tables. Explore CDC Streaming →](/solutions/cdc-streaming/)[ Solution · AI data supply ### AI & RAG Keep the stores behind retrieval and agent workflows synchronized with operational systems, and expose Core Hub pipelines and SQL to MCP clients under the caller's own permissions. Explore AI & RAG →](/solutions/ai-rag/) ## Give every team the same customer record Talk with MOLO17 about the systems, keys, and latency behind your customer view, or start a Gluesync trial. [Request a free trial](/get-gluesync/) [Talk to our team](/contacts/?topic=data-architecture)