Dataverra

For teams that deliver data conversions

Investigate.
Map.
Verify.

The working system for complex ETL data conversions—from the first look at a legacy system to a verified, reconciled target.

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Never connects to client databases.SQL out. Metadata in. Nothing else.

ProjectACME Customer Migration/MappingCUSTOMER
▷ Run ⌄
Source schema Oracle Target schema SQL Server
CUST_ID CustomerIDINT
CUST_NAME FullNameNVARCHAR(100)
ADDR_LINE1 Address1NVARCHAR(200)
CITY CityNVARCHAR(100)
STATE StateNVARCHAR(50)
ZIP PostalCodeNVARCHAR(20)
COUNTRY CountryNVARCHAR(50)
CREATED_AT CreatedOnDATETIME2
Target SQL preview•••
INSERT INTO [dbo].[Customer] (
  [CustomerID],
  [FullName],
  [Address1],
  [City], [State],
  [PostalCode],
  [CreatedOn]
)
SELECT
  s.CUST_ID,
  s.CUST_NAME,
  s.ADDR_LINE1,
  s.CITY, s.STATE,
  s.ZIP,
  s.CREATED_AT
FROM CUSTOMER s;
QA checks5 / 5 passed
Row count PASS ✓ Primary key PASS ✓ Required fields PASS ✓ Data type PASS ✓ Referential integrity PASS ✓
Recent runsView all →
May 19 · 10:42 AMSuccess2m 14s
May 19 · 09:15 AMSuccess2m 08s

SQL out. Metadata in. Nothing else.

OracleSQL ServerPPostgreSQL

Built for complexity

Convert with clarity and control.

Every schema, mapping decision, generated statement, result, and QA verdict stays connected and auditable.

01

Investigate

Declare the source systems and generate dialect-exact introspection and profiling SQL for duplicates, orphaned keys, null rates, gaps, and overlaps.

Source schema + data-quality report
02

Map

Build a living target map with source expressions, joins, lookups, transformations, decisions, and open questions in one controlled workspace.

Versioned map + generated ETL
03

Verify

Run structural, integrity, and reconciliation checks. Trace every result and verdict back to the exact SQL that produced it.

QA evidence + immutable run ledger
Conversion run ledgerAll systems operational
Source schema Captured→Data map Version 14→Generated ETL Validated→QA evidence 96% pass
DataverraSchemas · maps · QA rulesRun ledger · generated SQL
Dialect-exact SQL →← Metadata & aggregates
Client environmentYour databases. Your hands.Oracle · SQL Server · PostgreSQL
✓No credentials cross the boundary

Built for the data you cannot touch

Security is the architecture.

Dataverra never connects to your client's databases. It generates the SQL; your team runs it; only metadata and aggregates return.

01

No connections, by design

No drivers, connection tests, stored DSNs, client credentials, or network paths.

02

Metadata and aggregates only

Schema metadata, counts, checksums, and profiling statistics return. Row data does not.

03

Database-enforced isolation

Row-level security isolates every customer workspace and project inside Dataverra.

One workspace

One source of truth for the whole team.

Each role gets the view it needs without losing the shared conversion record.

01

Project manager

Progress by subject group and table, QA pass rates, and open questions in one roll-up view.

02

Business analyst

Source investigation, the client data-quality report, and the living data map itself.

03

Database developer

Generated introspection, ETL, and QA SQL to run, with outcomes returned in one action.

Early access

See Dataverra on your next conversion.

Built with consulting teams doing real, complex data conversions.

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