Analytics without the Overhead

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. But not anymore.

With Incorta’s Direct Data Mapping engine, you get real-time aggregation of large, complex business data without needing a data warehouse.

No Data Model Design

  • Ingest your entire source schema directly into the platform and bypass the need for the traditional data model design
  • Eliminate unnecessary data transformations, overnight ETL batch jobs or reshaping of data

Data Loading in Real Time

  • Run multiple direct data loaders in parallel to enjoy full and incremental data updates, all in real-time
  • Directly load data without performing any joins or calculations on the source system, without burdening the transactional applications

Sub-second Query Response Times

  • Perform hundreds of joins on the most complex data consisting of billions of records and reduce response times from hours to seconds
  • Deliver super responsive dashboards that rapidly answer business questions while eliminating frustrating waits

Answer Any Question at Anytime

  • Drill from top line, aggregated KPIs to supporting transaction records in a single click
  • Drill anywhere with dynamic, user defined drill paths and hierarchies
  • Allow for unlimited dimensionality (perspectives)

Pluggable Data Sources

  • Allow customers and partners to easily add new data sources via a pluggable data architecture
  • Integrate out-of-the-box with database sources including Oracle, IBM, Microsoft, MySQL, Vertica, SAP HANA, Netezza, Teradata and AWS Redshift, and cloud applications including, NetSuite, Oracle Cloud, Zuora and ServiceNow
  • Support CSV/JSON, kafka, Google BigQuery and Hive

Inherited Application Security

  • Retain all application-level security parameters, including row-level security for data access—the only analytics platform to do so
  • Protect data at rest using full, 128-bit AES encryption with no client-side data caching