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The is a petabyte-scale data platform that brings AI, analytics, and high-performance query execution directly to enterprise data. Rather than requiring you to move, copy, or sample large data sets across fragmented systems, the platform unifies data ingest, query optimization, security, and governance in a single platform. Agents, applications, and analysts connect to the platform to work with governed enterprise data in place. The platform supports both structured and semi-structured data, giving AI and analytical workloads access to richer context without additional data pipelines. The platform continuously ingests high-volume data so that it is available for queries and AI-driven workflows as it arrives. Built-in access controls, auditability, and compliance features protect data across every interaction — whether the consumer is a human analyst, a BI tool, or an AI agent. You can deploy the platform in the environment that fits your operational, security, and data-sovereignty requirements. The following sections introduce the core concepts that define how data is stored, organized, and executed within the OcientAIQ Unified Data Platform.
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Key Concepts

Core concepts and terms needed for a quick start
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Install an Ocient System

Installation, Upgrade, System Configuration, Maintenance, and Monitoring of an Ocient System
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Connect to Ocient

Connection to Ocient with JDBC and other drivers
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Database Administration

Overview of key database administration capabilities like workload management, result set caching, and managing users, groups, and roles
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Load Data

Loading and transformation capabilities, managing pipelines, transformation functions, and error handling
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Query Ocient

Overview of Ocient data types and the components of a query
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Core Elements of an Ocient System

Overview of Ocient System design and architecture
These sections outline the capabilities of Ocient for data ingestion, transformation, and advanced analytics. Ocient SQL supports integrated libraries for geospatial analysis and machine learning tools.
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SQL Reference

SQL command, function, operator, and keyword reference including DDL, DCL, and query reference
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Connection Driver Reference

Different SQL client connectors
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Machine Learning in Ocient

Walkthroughs to deploy various ML models integrated into Ocient
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Geospatial Functions

Functions for analyzing geospatial data sets
For AI tools, start with /llms.txt for optimal content extraction. For information about integrations and connections to third-party applications and tools, see Ocient Integrations. For a detailed explanation of the in Ocient, design principles, storage capabilities, and query engine, see Ocient Architecture. For information on ingesting data using the legacy Loading and Transformation (LAT) functionality, see Ingest Data with Legacy LAT Reference.
Last modified on May 27, 2026