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.
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.
- 01 Define the joining key
- 02 Replicate into one target
- 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.
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.
- 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.
- 02
Converge
Replicate into one target
A pipeline per contributing system feeds the shared customer store continuously, with entities grouped for consistent settings.
- 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
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
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
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.