The AI database for generative workflows

Real-time ingestion, sub-second queries, and elastic cost control — purpose-built for AI observability and evaluation at scale.

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Designed for the modern data architecture

Keep your data where it lives. Leverage Iceberg-backed open formats and compute-storage separation to access AI data nearly instantly, with zero exports or duplication.

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Control costs at scale

Move seamlessly between hot and cold storage tiers, pulling only what you need into cache. With smart caching, Arize adb delivers elastic performance at a fraction of the cost.

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The universal data fabric for AI

Built for the scale and complexity of AI, adb supports OTEL ingest, real-time streaming, and freedom to query with any engine. Your data stays accessible and usable across the systems and teams that need it. 

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Fastest AI database on the market

Optimized for AI evaluation and iteration, delivering sub-second performance at massive scale.

Benchmark Arize adb Competitor A Competitor B Competitor C
Query Latency (p95) < 1 second 2-5 seconds1.2× slower 5-10 seconds4× slower 1-3 seconds1.2× slower
Data Architecture Open Format (Iceberg) Proprietary Format Proprietary / Black Box Proprietary Format
Cost Control Elastic Tiers (Hot/Cold) Fixed Compute Cost Opaque Pricing Complex Tiering
Vendor Lock-in Zero High Very High High
AI-Optimized Workflows Native Requires Customization Native Requires Customization
Query over 1B GenAI traces 0.8s 3.2s 9.1s 2.1s
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Arize adb vs. the rest

Benchmarks show Arize adb outpaces leading AI databases. But speed is just table stakes — openness, elasticity, and cost control are the real wins.

We built adb because no off-the-shelf option met the enterprise-scale needs for AI evaluation and iteration.

Arize adb is built on open file formats, enabling sub-second access, zero-copy data movement, and portability across any tool or warehouse.

Every pillar of adb ties back to a simple goal: making AI workloads not just possible, but practical.

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Speed

Fresh data is available to the query the moment it arrives.

Elasticity

Explicitly designed for long-context AI workloads.

Performance

Ingest billions of events without slowing queries.

Scalability

Handles growing datasets and continuous updates at scale.

"From Day 1 you want to integrate some kind of observability. In terms of prompt engineering, we use Arize to look at the traces [from our data pipeline] to see the execution flow …
to determine the changes needed there."

Kyle Weston

Lead Data Scientist, GenAI

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