Data Management

Master data tools
made with Relpin.

Build cleanup queues, validated bulk edits, and dedupe review tools for reference data. Every field change is audited with before/after diffs and shipped through pinned releases.

Start building View Console

Validated reference data model

Track record status, stewardship, controlled vocabularies, and source systems.

Steward console UI

Validation queues, dedupe review panels, bulk edit grids, and import views.

Governed change path

Ship row-level audit diffs, approval gates, and governed DDL by default.

Solutions / Data Management Pinned
DS

Data Quality Overview

Records, validation, and duplicate status

Records
18,402
+312
Validation Errors
64
-21
Duplicate Candidates
23
-9
Pending Review
11
+4

Validation Throughput

Resolved errors by table

Weekly

Field Changes

View all
Data Steward
Changed country_code from DE-1 to DE
3m ago
Anna Keller
Merged duplicate supplier ACME GmbH
9m ago
System
Flagged 14 records failing vat_id validation
21m ago
Reviewer
Approved bulk edit on 240 supplier records
40m ago
System
Pinned reference-data release v2.1.0
1h ago
Solution Architecture

Every master data tool starts governed.

Relpin provides the primitives teams need to clean reference data on a dedicated Postgres per org, review risky edits, and keep every field change traceable from draft to production.

01 Record Intake

Create records with status, steward, and source system.

The starter schema keeps record status, stewardship, and vocabulary references explicit instead of scattered across spreadsheets.

record_status ·steward_id ·source
02 Validation Queue

Surface failing records before they spread downstream.

Filter, sort, and paginate server-side so stewards work through validation errors directly against the database.

rules ·filters ·queue
03 Dedupe Review

Review duplicate candidates and merge into a survivor.

Compare candidate pairs field by field and record every merge decision with actor and before/after values.

candidates ·merge ·diff
04 Bulk Edits

Apply validated bulk edits across thousands of rows.

Bulk table operations run server-side with the same typed validation as single-record edits.

bulk_edit ·validation ·tables
05 Audit Trail

Record every field change with before/after diffs.

Row-level audit captures actor, timestamp, and field-level diffs for every insert, update, and delete.

audit_log ·diff ·actor
06 Schema Changes

Promote schema changes through governed DDL.

Destructive changes are guarded: drop_column is blocked in production, drop-table is staged with retention.

DEV ·TEST ·PROD
Built for internal tools. Designed for trust.
✓ Deterministic releases
✓ Per-org Postgres isolation
✓ Row-level audit diffs
✓ Approval-gated promotion
Data Management

Build the console
that keeps data clean.

Start with a governed reference data model on a dedicated Postgres per org, and ship every change through deterministic Relpin releases.

Start building Explore the platform

Open beta · Dedicated Postgres per org · EU / Frankfurt

Validation queues · Dedupe review · Bulk edits · Audit trails