Direct Data Mapping

The first fundamentally new way to analyze data in 30 years.
Breakthrough performance without transforming, reshaping or
aggregating the data.

The data warehouse was developed over 30 years ago to bring all of an organization’s data together for analysis and decision-making. Since then, massive advances in computing and storage now instrument every detail of modern life and have brought us to the brink of autonomous business operations through AI.

Yet, with all these advances, we still build data warehouses that, even in the cloud, represent a lot of effort for only modest results. As the speed of business increases and the volume of data grows, the canonical structured data warehouse is no longer tenable. It doesn’t provide the flexibility, speed and simplicity to let companies be agile, and let people make decisions in real-time.


Direct Data Mapping

Incorta’s Direct Data Mapping™ is a game-changer. DDM is a proprietary technology that pre-processes or “maps” incoming data such that it does not have to be transformed, reshaped, or aggregated to have blazing fast query performance.


Data acquisition in Incorta results in a highly optimized, standardized, and compacted data lake alongside a data catalog, and the Direct Data Mapping files.

DDM eliminates the traditional and lengthy batch processing that is needed to reshape and aggregate data. Ingestion is fast and avoids Lambda and other costly real-time schemes.

By eliminating the need for dimensional modeling, and providing integrated and easy to use data enrichment capabilities, Incorta customers stay current with business activities and can focus on adding value and innovating with their data.

Direct Data Mapping’s unprecedented performance empowers non-technical business users to access a centralized data repository to analyze the data any way they want, on their own, without delay.



At least 10x faster than the closest competitors in querying data. Incorta truly delivers sub-second aggregations and filters across complex relationships, allowing analysts to slice/dice and summarize data through dashboards, at the speed of thought. More joins will not degrade performance.



Every data point loaded into the system is aware of how it relates to every data point in the system. This eliminates the need for a data warehouse and associated star-schema development and relational queries.



DDM understands the join path(s) ahead of time. Incorta DDM replaces cost- and rule-based optimizers, and does not require any query tuning or query statistics maintenance for good analytics performance. This means easier operations and more consistent performance.


Incorta Analytics
No Modeling. No ETL. BI Reimagined.

Until now, analyzing large volumes of complex business data spanning ERP, cloud applications, and other business systems required the construction of a costly, time-consuming data warehouse. And the only way to normalize the data from these multiple sources, understand their relationships, and perform analytics at scale was via a star-schema or cube. But not anymore.

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