Types of Databases

Referred Link -  

https://www.linkedin.com/posts/aditya-hicounselor_ai-sql-nosql-activity-7378057053979844608-z-AX

𝗔𝘀 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗲𝘃𝗼𝗹𝘃𝗲 𝘁𝗼𝘄𝗮𝗿𝗱 𝗔𝗜, 𝘀𝗰𝗮𝗹𝗲, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀, 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗼𝗻𝗲-𝘀𝗶𝘇𝗲-𝗳𝗶𝘁𝘀-𝗮𝗹𝗹.

It’s not just SQL vs NoSQL anymore. It’s about choosing the right database for the data, the workload, and the business outcome.

𝗟𝗲𝘁’𝘀 𝗯𝗿𝗲𝗮𝗸 𝗶𝘁 𝗱𝗼𝘄𝗻 👇

1. 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝗮𝗹 (SQL) Databases
Structured, reliable, and transaction-safe.
🔹 Banking | ERP | Order Management
Examples: MySQL | PostgreSQL | SQL Server

2. 𝗖𝗼𝗹𝘂𝗺𝗻𝗮𝗿 Databases
Built for analytics & fast aggregations.
🔹 Data Warehousing | BI | OLAP
Examples: Redshift | ClickHouse | HBase

3. 𝗧𝗶𝗺𝗲-𝗦𝗲𝗿𝗶𝗲𝘀 Databases
Optimized for metrics, events, and IoT data.
🔹 Monitoring | IoT | Real-time Analytics
Examples: InfluxDB | TimescaleDB | QuestDB

4. 𝗜𝗻-𝗠𝗲𝗺𝗼𝗿𝘆 Databases
Ultra-low latency & millisecond responses.
🔹 Fraud Detection | Real-time Apps | Caching
Examples: Redis | SAP HANA | Ignite

5. 𝗚𝗿𝗮𝗽𝗵 Databases
Focus on relationships & connections.
🔹 Social Networks | Recommendations | Knowledge Graphs
Examples: Neo4j | JanusGraph | Cosmos DB

6. 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 Databases
Flexible schemas for semi-structured data.
🔹 CMS | User Profiles | Mobile Apps
Examples: MongoDB | Couchbase | Firestore

7. 𝗩𝗲𝗰𝘁𝗼𝗿 Databases
Powering AI & semantic search.
🔹 Generative AI | RAG | Similarity Search
Examples: Pinecone | Milvus | Weaviate

8. 𝗢𝗯𝗷𝗲𝗰𝘁-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 Databases
Store data as objects aligned with code.
🔹 CAD/CAM | Complex Applications
Examples: db4o | ZODB

9. 𝗕𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 Databases
Immutable, secure, and decentralized.
🔹 Supply Chain | Provenance Tracking | Identity Verification
Examples: BigchainDB | CovenantSQL

Tags:
#SQL #NoSQL