Get Started with the OcientAIQ Unified Data Platform
Welcome to Ocient documentation. Find setup guides, SQL references, machine learning, geospatial features, integrations, and operations for the platform.
The OcientAIQ™ Unified Data Platform 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.
Key Concepts
Core Ocient® concepts and terms needed for a quick start
Install an Ocient System
Installation, Upgrade, System Configuration, Maintenance, and Monitoring of an Ocient System
Connect to Ocient
Connection to Ocient with JDBC and other drivers
Database Administration
Overview of key database administration capabilities like workload management, result set caching, and managing users, groups, and roles
Load Data
Loading and transformation capabilities, managing pipelines, transformation functions, and error handling
Query Ocient
Overview of Ocient data types and the components of a query
Core Elements of an Ocient System
Overview of Ocient System design and architecture
Ocient Management UI
Web-based interface for monitoring system health, managing queries and pipelines, and running SQL directly in the browser
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.
SQL Reference
SQL command, function, operator, and keyword reference including DDL, DCL, and query reference
Connection Driver Reference
Different SQL client connectors
Machine Learning in Ocient
Tutorials to deploy various ML models integrated into Ocient
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 Compute Adjacent Storage Architecture® 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 October 6, 2026
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