Real-Time Query Capabilities

CrateDB excels at real-time analytics workloads that rely on continuous aggregation. Thanks to its columnar storage and distributed query execution, even the largest datasets can be aggregated across millions of rows in milliseconds.

Use cases:

• Real-time dashboards and KPIs
• Time-series analysis at massive scale
• Continuous monitoring and anomaly detection

With CrateDB, analysts and engineers can query live data as easily as historical data. No pre-aggregation, no offline copy.
Native SQL support, dynamic schemas, and automatic indexing make ad-hoc exploration effortless, so you can investigate what’s happening as it happens.

Benefits:

• Query fresh data without ETL
• SQL-native flexibility for any workload
• Millisecond response time, even on billions of records

CrateDB merges full-text search, vector similarity search, and structured queries into a single, unified engine. This hybrid approach allows you to combine keyword filters, semantic search, and numeric conditions all in one query.

Examples:

• Combine MATCH() for full-text relevance with SQL filters
• Use KNN_MATCH() for vector similarity search in AI-driven use cases
• Blend structured and unstructured search in one result set

CrateDB acts as a real-time feature store for AI and ML platforms. Its ability to provide fresh, aggregated, and context-rich data makes it ideal for models that depend on the latest signals, from predictive maintenance to personalized recommendations.

Highlights:

• Stream features directly into ML pipelines
• Keep models in sync with current conditions
• Integrate easily with frameworks like Flink, Spark, or TensorFlow

Behind every CrateDB query lies a distributed SQL engine optimized for real-time performance. Parallel processing, intelligent sharding, and automatic indexing ensure sub-second results,  even as data volume, velocity, and variety grow.

Result: Instant insights. No waiting. No tuning.

CrateDB unifies querying, analytics, and search in one scalable platform. Whether you’re running aggregations on streaming telemetry, searching millions of documents, or feeding AI models, CrateDB delivers the right answer, right now.

Traditional Systems	CrateDB unified query engine
Separate systems for search, analytics, and vectors	Unified engine for all query types
Slow joins and limited flexibility	Distributed SQL with hybrid search
Minutes to query fresh data	Milliseconds to insight