What are the different types of databases used in startups?
Relational Databases (SQL)
- Use structured schemas and support SQL queries.
- Suitable for transactional and structured data applications.
- Ensure data integrity with ACID (Atomicity, Consistency, Isolation, Durability) compliance.
- Common options include MySQL, PostgreSQL, and Microsoft SQL Server.
- Ideal for inventory systems, CRMs, and financial applications.
NoSQL Databases
- Designed for unstructured or semi-structured data.
- Provide high scalability and flexibility in data formats.
- Use models like key-value, document, column, or graph.
- Popular options include MongoDB, Redis, and Cassandra.
- Ideal for real-time analytics, mobile apps, and dynamic content.
In-Memory Databases
- Store data in RAM for ultra-fast read/write access.
- Suitable for caching, session storage, or real-time analytics.
- Redis and Memcached are widely used in performance-driven apps.
- Help reduce database load and speed up API responses.
- Often used in combination with persistent databases.
Time-Series Databases
- Optimized for timestamped data like logs, metrics, or sensor outputs.
- Efficient for IoT, performance monitoring, and financial tracking.
- Examples include InfluxDB and TimescaleDB.
- Enable downsampling, retention policies, and trend analysis.
- Help visualize and alert based on time-based patterns.
Graph Databases
- Store data as nodes and relationships instead of tables.
- Useful for recommendation engines, social networks, and fraud detection.
- Examples include Neo4j and Amazon Neptune.
- Enable complex relationship queries and graph traversals.
- Support data models not easily represented in rows/columns.