In the era of AI and real-time analytics, data is not just growing—it’s becoming more complex. Organizations are ingesting structured records, semi-structured logs, free-text documents, real-time sensor events, and even high-dimensional vectors from AI models. Managing and analyzing this diverse data in real-time is no longer a luxury—it’s a requirement.
That’s why CrateDB is redefining what it means to be a database for AI-powered analytics. At its core lies a powerful capability that many analytics stacks struggle with: Unified Multi-Model Data Handling. This is what enables CrateDB to serve as the single source of truth for real-time operational and AI workloads—eliminating the need for fragmented, siloed architectures.
A Database That Speaks Every Data Language
CrateDB natively supports a broad spectrum of data types, enabling seamless analytics across them without complex ETL or separate storage engines.
Structured Data (Relational)
CrateDB’s SQL-first interface and relational foundation make it instantly familiar. It supports full ANSI SQL, joins, aggregations, and indexes—enabling fast, expressive querying of structured data. Whether you're working with operational metrics, business KPIs, or relational metadata, CrateDB delivers high performance with horizontal scalability.
Semi-Structured Data (JSON, Nested Structures)
Modern applications generate nested and irregular data formats. CrateDB offers native support for JSON and nested fields, allowing you to query, filter, and aggregate JSON structures directly with SQL—no preprocessing or flattening needed. It's ideal for logs, API payloads, or user-generated content.
Unstructured Data (Logs, Free Text)
CrateDB isn’t just for tabular data. It features built-in full-text search, enabling you to run search queries on free-form text data—think logs, descriptions, error messages, and customer feedback. This capability brings search and analytics together in a single engine, simplifying observability and diagnostics.
Vectors and Embeddings for AI
AI workloads increasingly depend on vector embeddings—from large language models (LLMs), computer vision, audio processing, and more. CrateDB supports high-dimensional vector storage and similarity search, enabling you to build AI-driven search, recommendation, and classification systems. Vectors are treated as first-class citizens, making CrateDB a powerful backend for hybrid search and retrieval-augmented generation (RAG) use cases.
Time-Series and Event-Based Data: Built-In
CrateDB also shines in handling time-series and event data, a core component of operational intelligence and AI model training.
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Precision timestamps support microsecond granularity for real-world event capture.
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Window functions let you compute moving averages, rankings, and trends over time.
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Downsampling and rollups enable efficient long-term storage and analysis of high-frequency data.
This makes CrateDB ideal for IoT, industrial telemetry, observability, and monitoring use cases.
Why Unified Multi-Model Support Matters
Most analytics stacks today rely on multiple systems: a SQL database for structured data, a document store for JSON, a vector database for AI, a time-series database for metrics, and a search engine for logs. These silos create:
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Operational overhead from managing multiple systems
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Data latency due to pipeline complexity
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Inconsistent insights from fragmented views
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Higher cost due to duplicated storage and infrastructure
CrateDB solves this by unifying all these data models in a single, distributed, real-time database. That means:
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No more stitching together results from different backends
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AI applications get real-time access to operational data, logs, and vector embeddings in one place
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Data teams can build faster, smarter applications with a single query engine and schema
The Future of Analytics is AI-Driven—and CrateDB is Ready
As organizations embed AI deeper into products and operations, the need for unified, fast, and intelligent data infrastructure will only grow. CrateDB delivers the scale of a distributed system, the simplicity of SQL, and the versatility of multi-model support—all in one platform.
Whether you're building an AI-powered recommendation engine, a real-time dashboard for IoT devices, or a RAG system powered by LLMs, CrateDB gives you the real-time, AI-ready foundation you need.
One database. All your data. Smarter decisions.
