Database develop. life cycle - Cost, scalability, support, security

 

Factor SQL (Relational) NoSQL (Non-Relational) NewSQL (Relational + Scalable)
Cost - Usually moderate to high for enterprise editions (Oracle, SQL Server).- Open-source options exist (PostgreSQL, MySQL) → low cost. - Often lower software cost (MongoDB, Cassandra open-source).- Can incur higher infrastructure cost at scale due to distributed systems. - Usually higher cost; newer technology, fewer vendors.- Cloud-managed solutions can be expensive but reduce admin overhead.
Scalability - Vertical scaling (upgrade server resources).- Harder to scale horizontally. - Designed for horizontal scaling across many servers.- Handles massive data and traffic efficiently. - Horizontal scaling like NoSQL, but preserves ACID transactions.- Suited for global, distributed systems.
Support - Mature ecosystem, excellent community and vendor support.- Extensive documentation, tools, and skilled developers. - Good community support for popular DBs (MongoDB, Redis).- Enterprise support available but sometimes less mature than SQL. - Limited vendor options and community support.- More specialized knowledge required.
Security - Strong built-in security (roles, encryption, auditing).- ACID compliance ensures data integrity. - Security depends on DB type and setup.- Some NoSQL DBs lack granular access control by default; needs careful configuration. - Strong security like SQL databases.- Distributed design may require extra network/data protection measures.

Key Takeaways

  1. SQL: Best for security, support, and structured data; moderate to high cost; limited horizontal scalability.

  2. NoSQL: Best for horizontal scaling and low cost at large scale; support and security vary by implementation.

  3. NewSQL: Combines SQL reliability + NoSQL scalability; higher cost; emerging technology with growing support.