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Unified Analytical Runtime

One intelligent abstraction layer unifying analytics, AI applications, and large-scale data processing—across every data system, format, and infrastructure environment.

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Dominate with Data

10x
Faster with Velox
Vectorized
execution engine
Zero
Data Duplication
Query in-place architecture
100%
Workload Isolation
Dedicated
compute pools
<100ms
Query Latency
For cached
datasets
The Approach

One Abstraction Across All Enterprise Data

The platform abstracts storage, compute, execution, and access into a single analytical surface—without moving or duplicating data.

Unified Analytical Layer
One semantic and execution surface across every dataset—lakes, warehouses, streams, and AI stores.
Centralized Governance
Consistent access control, lineage, and policy enforcement spanning all infrastructure.
Distributed Execution
Seamless execution across cloud, on-prem, and edge—without moving or duplicating data.
Execution Model

Compute Executes Where the Data Lives

Instead of centralizing compute, the runtime pushes execution into the infrastructure layers your data already lives in. Engines are an implementation detail—not a choice users have to make.

Interactive
Warehouse-Scale Analytics
Sub-second SQL across federated sources for BI, exploration, and AI applications.
Trino
Distributed
Large-Scale Processing
Heavy ETL, AI feature engineering, and petabyte-scale transformation pipelines.
Spark
Hybrid
Real-Time + Batch
Streaming and batch workloads composed under one runtime, one governance model.
Unified
Open Architecture

Built on Open Data Architecture

The platform is designed around open table and file formats—ensuring interoperability across engines, clouds, and storage systems.

Applications, analytics, and AI systems operate on the same governed foundation without duplication or proprietary storage.

Zero vendor lock-in
Portable data architectures
Shared datasets across engines
Unified governance across all formats
Iceberg
Delta Lake
Hudi
Parquet
ORC
Avro
AI-Native

Powering the Next Generation of Data Applications

A unified runtime for the same class of experiences as Databricks Genie and Snowflake Cortex—except your applications interact with one governed analytical layer instead of isolated systems.

Conversational Analytics
Natural-language access to governed enterprise data—answers, not queries.
AI Copilots
Embedded assistants that reason over the same analytical layer your apps use.
Autonomous Data Apps
Agentic workflows that observe, decide, and act on enterprise data continuously.
Intelligent Assistants
Domain-aware enterprise assistants grounded in unified, governed context.
Continuum of Scale

From Interactive Analytics to Massive Data Processing

One platform spans interactive business analytics, SQL workloads, distributed ETL, AI feature engineering, and autonomous workflows.

The runtime scales dynamically between low-latency execution and large-scale distributed processing through a unified execution architecture.

Outcomes

What changes when analytical execution becomes a single runtime.

One abstraction across all enterprise data
Open and interoperable architecture
Unified governance across formats and engines
Interactive analytics + processing at scale
AI-native applications on governed data
Reduced operational complexity
No proprietary storage lock-in

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