Use-Case Analyzer
Answer the following questions to get a tailored recommendation.
Comparative Deep Dive
Explore the core strengths and ideal use-cases for each database type.
Vector DB
Specialized for storing and querying high-dimensional vectors, enabling semantic search and similarity-based retrieval.
Key Strengths:
- Semantic Search
- Similarity Matching
- Optimized for AI/ML data
- Fast Approximate Nearest Neighbor (ANN) search
Best For:
- AI-powered search engines
- Recommendation systems
- Image & audio recognition
- Anomaly detection
NoSQL DB (Key-Value/Columnar)
Broad category of databases designed for scalability and performance with flexible data models like key-value or wide-column stores.
Key Strengths:
- Extreme Scalability
- High Availability & Fault Tolerance
- Simple, fast read/write operations
- Flexible Schema
Best For:
- Big Data & Real-time applications
- Caching layers
- IoT data ingestion
- User session management
Document DB
Stores data in flexible, JSON-like documents, making it intuitive for developers and great for semi-structured data.
Key Strengths:
- Developer-friendly (JSON/BSON)
- Flexible, evolving schemas
- Rich querying capabilities on documents
- Good all-around performance
Best For:
- Content Management Systems
- E-commerce platforms
- Mobile app backends
- General purpose web applications
Visual Capability Comparison
Select a workload to see how the databases compare on key attributes. This chart provides a visual representation of their relative strengths.