About

Detecting a failure is the easy half

Every data team already knows when something broke. What costs them the evening is working out why — and that part has barely improved in twenty years.

The gap

An alert fires at 2am. The engineer opens a log file, greps for something, opens SSMS, writes a count query, checks whether a deployment went out, remembers a similar incident from March, and eventually finds a table nobody documented absorbing the missing rows. That work is skilled, repetitive, and almost entirely reconstructable from evidence a machine could have gathered in the first sixty seconds.

Why the existing tools miss it

Data observability assumes a modern cloud warehouse — Snowflake, dbt, Fivetran — and a great deal of the world's ETL is not that. It is an SSIS package, a SQL Agent job, a stored procedure with no commit history, or a .NET service writing to SQL Server on a five-minute schedule. Those pipelines are invisible to the entire category, and they are running payroll, transactions and inventory.

What we believe

An explanation you cannot check is worthless. Every claim Decim makes links to the evidence behind it. If the evidence does not support a conclusion, saying so is the correct answer.

Absence is evidence. The most expensive failures do not throw. They complete, report success, and divert rows somewhere nobody is watching.

Being wrong loudly beats being wrong quietly. A rejected diagnosis is a signal we can learn from. A confident wrong answer that nobody checks is how a product like this destroys its own credibility.

The agent earns its access. We are asking to run software inside your network. That comes with hard limits, published up front.

Who builds it

Decim is a Ryware product, built by people who have spent a long time on the wrong end of an ETL pipeline at an unreasonable hour.

Get started

Bring us a pipeline that broke last week

The fastest way to evaluate this is a real incident you already know the answer to. If Decim gets it wrong, that is a far more useful demo than one where it doesn't.