Why Traditional Approaches Fall Short
Modern organizations generate massive volumes of logs, events, customer interactions, and operational data, and they need to search and analyze it all in real time. Traditional approaches often force teams to juggle multiple specialized systems:
- Search engines (e.g., Elasticsearch) excel at full-text queries but struggle with complex analytics, joins, and multi-model queries.
- OLAP or time-series databases handle aggregations well but don’t natively support full-text or vector search.
- Multiple systems increase infrastructure complexity, duplication, and maintenance overhead.
How CrateDB Makes Data Work for You
CrateDB unifies search, analytics, and multi-model queries in a single, real-time database:
- All-in-one queries: Run ad-hoc aggregations, joins, filters, and full-text search in the same SQL query.
- Multi-model support: Structured, semi-structured, geospatial, time-series, and vector data, all in one place.
- Instant integration: Feed dashboards, BI tools, AI models, and custom applications without complex ETL.
- Seamless scalability: Handle billions of rows and high concurrency efficiently, horizontally or vertically.
Real-Time Insights That Drive Action
- Faster troubleshooting: Pinpoint root causes of errors or anomalies in seconds.
- Unified insights: Combine search and analytics across all data types in one platform.
- Lower total cost: Replace multiple specialized systems with a single, consolidated database.
- Real-time action: Make decisions instantly by combining search, aggregations, and time-series data.
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