Put semi-structured data to work at enterprise scale
The OcientAIQ™ Unified Data Platform gives teams a faster, more reliable way to load, transform, store, and analyze complex semi-structured data at petabyte scale, so AI agents, applications, and analytical workflows can act on more enterprise data with speed, trust, and cost control.
Enterprise data rarely arrives clean, flat, or uniform. The OcientAIQ Unified Data Platform is built to handle complex semi-structured data natively, helping teams preserve analytical richness while reducing the cost, delay, and complexity of reshaping data before it can be used.
Analyze arrays natively, including nulls within arrays, jagged arrays of arrays, and for_some and for_all operations.
Run linear algebra directly in SQL for scientific computing, advanced analytics, and machine learning workflows.
Work with deeply nested structures, including arrays of tuples, tuples of arrays, and tuples of tuples nested to arbitrary depth.
Semi-structured data is growing across sensors, devices, networks, applications, ad exchanges, financial systems, and operational platforms. OcientAIQ helps teams analyze that data in place, at scale, without slowing down production workloads or creating fragile data pipelines.
Place secondary indexes on massive structured and semi-structured datasets, including nested structures, to accelerate query performance while keeping infrastructure costs under control.
Add new data without complex global index maintenance. Each segment contains its own index alongside the data, giving teams performance-boosting power without the usual administrative overhead.
OcientAIQ extends SQL for high-performance analysis across arrays, tuples, matrices, and deeply nested structures. Teams can transform, filter, pivot, normalize, and enrich complex data directly in the platform, reducing the need to move data through separate preprocessing systems before it becomes useful.
With OcientAIQ, teams can:
- Convert nested, structured objects from source data into the relational format they need
- Select complex nested arrays, objects, and values
- Gracefully handle missing values
- Normalize or denormalize data through array and tuple manipulation, filtering, and pivoting
- Apply transformations over arrays and structured objects to create derived fields during loading
Arrays, tuples, matrices, and nested objects are often where the most valuable signals live. OcientAIQ makes that data accessible through advanced SQL, so teams can analyze more of their enterprise data without adding unnecessary pipeline complexity.
Ready to put more of your enterprise data to work?
OcientAIQ helps teams analyze complex semi-structured data at petabyte scale, with the performance, governance, and cost control required for production AI and advanced analytics.