Enterprise-scale sub-second analytics without the constraints of traditional ETL.
Incorta is a disruptive enterprise data platform that utilizes a unique 'Direct Data Mapping' (DDM) technology to bypass the traditional, time-consuming ETL (Extract, Transform, Load) processes. By 2026, Incorta has solidified its position as the premier solution for 'Operational AI,' allowing enterprises to run complex join queries against massive datasets from ERP systems like Oracle, SAP, and NetSuite in sub-second response times. Its architecture leverages a memory-mapped file system and a highly optimized query engine that treats data in its raw, relational form, preserving full fidelity and lineage. The 2026 iteration features 'Incorta Copilot,' a generative AI layer that allows non-technical stakeholders to perform complex data modeling and visualization via natural language, significantly reducing the burden on IT departments. Positioned as a bridge between data lakes and traditional BI, Incorta is specifically engineered for high-concurrency environments where data freshness is critical, such as supply chain monitoring, financial close automation, and real-time inventory management. Its ability to scale horizontally across multi-cloud environments makes it a cornerstone for modern data mesh architectures.
A proprietary technology that enables querying of raw data schemas without the need for flattening or complex ETL pipelines.
Turn every Salesforce data point into an AI-powered prediction and prescriptive action.
Transform natural language into high-performance analytical expressions and complex data scripts instantly.
Augmented intelligence for business-wide data democratization and governed decision-making.
Transform business intelligence with generative AI that answers data questions in seconds.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An LLM-driven interface that maps metadata to natural language intent for automated insight generation.
Utilizes memory-mapped files and columnar storage (Parquet) to execute joins at query time.
Integrated Apache Spark for complex data transformations that require heavy computational logic.
Supports querying data residing in S3, Azure Data Lake, or Google Cloud Storage alongside relational data.
Pre-built data models and dashboards for specific enterprise applications like Oracle EBS and NetSuite.
Implements Row-Level and Column-Level security that inherits permissions from the source system.
Complex joins in Oracle EBS slow down financial close reports to hours or days.
Registry Updated:2/7/2026
Automate refresh every 15 minutes
Inventory data is siloed and often 24 hours old.
Fragmented customer data across CRM, Marketing, and Support tools.