DEV Community

Cover image for 15 Databases, 15 Use Cases — The Ultimate Guide That No One Asked For (But Everyone Needs)
Rishabh Agarwal
Rishabh Agarwal

Posted on

2

15 Databases, 15 Use Cases — The Ultimate Guide That No One Asked For (But Everyone Needs)

15 Databases

1. Relational Databases

  • Examples: Postgres, MySQL, Oracle
  • Features: Organized into tables with fixed columns; uses foreign keys to establish relationships.
  • Use Cases: E-commerce, finance, healthcare, and applications with structured data and well-defined relationships.

2. Wide-Column Databases

  • Examples: Cassandra, ScyllaDB, DynamoDB
  • Features: NoSQL databases with flexible columns that can vary across rows; optimized for high scalability and low-latency querying.
  • Use Cases: Big data, analytics, high-write throughput.

3. Time-Series Databases (TSDB)

  • Examples: InfluxDB, Prometheus, Kdb+
  • Features: Optimized for time-indexed data like metrics and events.
  • Use Cases: Financial trading, performance monitoring, IoT sensor data.

4. Ledger Databases

  • Examples: Amazon Quantum
  • Features: Designed for financial data with immutability and cryptographic verification; validated by a central authority.
  • Use Cases: Financial applications, supply chain management, voting systems.

5. Graph Databases

  • Examples: Neo4j, ArangoDB, Amazon Neptune
  • Features: Store data as nodes, relationships, and properties; ideal for managing interconnected data.
  • Use Cases: Social networks, knowledge graphs, recommendation systems.

6. Object-Oriented Databases (ODBMS)

  • Examples: ObjectDB, db4o
  • Features: Store data as objects, similar to object-oriented programming languages; support inheritance and polymorphism.
  • Use Cases: Object-oriented applications, multimedia databases.

7. Hierarchical Databases

  • Examples: IBM IMS, Windows Registry
  • Features: Organize data in a tree-like structure with parent-child relationships.
  • Use Cases: File systems, legacy systems.

8. Document Databases

  • Examples: MongoDB, CouchDB, ArangoDB
  • Features: Store semi-structured data as JSON-like documents; flexible and hierarchical.
  • Use Cases: Content management systems, e-commerce platforms.

9. Key-Value Databases

  • Examples: Redis, Couchbase, DataStax
  • Features: Store data in key-value pairs; highly scalable and fast.
  • Use Cases: Caching, session storage.

10. Blob Databases

  • Examples: Amazon S3
  • Features: Store large unstructured binary data like media files.
  • Use Cases: Multimedia storage, content delivery networks.

11. In-Memory Databases

  • Examples: Redis, Memcached, Apache Ignite
  • Features: Store data in memory for ultra-low latency and high throughput.
  • Use Cases: Caching, real-time bidding, gaming leaderboards.

12. Text Search Databases

  • Examples: Elasticsearch
  • Features: Optimized for storage, retrieval, and analysis of large volumes of text data.
  • Use Cases: Web searches, auto-complete, filtering.

13. Spatial Databases

  • Examples: PostGIS, Oracle Spatial
  • Features: Manage spatial data types (e.g., points, polygons) and related relationships.
  • Use Cases: GIS, location-based services, spatial analysis.

14. Vector Databases

  • Examples: Pinecone, Chroma
  • Features: Store, index, and search high-dimensional data; optimized for AI and machine learning tasks.
  • Use Cases: Image and video search, recommendation systems, AI model embeddings.

15. Embedded Databases

  • Examples: SQLite, RocksDB, BerkeleyDB
  • Features: Lightweight databases integrated within applications; offer fast data access with a small footprint.
  • Use Cases: Desktop applications, quick proofs of concept, resource-constrained environments.

Checkout the full article on Medium!

Image of AssemblyAI tool

Transforming Interviews into Publishable Stories with AssemblyAI

Insightview is a modern web application that streamlines the interview workflow for journalists. By leveraging AssemblyAI's LeMUR and Universal-2 technology, it transforms raw interview recordings into structured, actionable content, dramatically reducing the time from recording to publication.

Key Features:
🎥 Audio/video file upload with real-time preview
🗣️ Advanced transcription with speaker identification
⭐ Automatic highlight extraction of key moments
✍️ AI-powered article draft generation
📤 Export interview's subtitles in VTT format

Read full post

Top comments (0)

AWS Security LIVE!

Tune in for AWS Security LIVE!

Join AWS Security LIVE! for expert insights and actionable tips to protect your organization and keep security teams prepared.

Learn More

👋 Kindness is contagious

Dive into an ocean of knowledge with this thought-provoking post, revered deeply within the supportive DEV Community. Developers of all levels are welcome to join and enhance our collective intelligence.

Saying a simple "thank you" can brighten someone's day. Share your gratitude in the comments below!

On DEV, sharing ideas eases our path and fortifies our community connections. Found this helpful? Sending a quick thanks to the author can be profoundly valued.

Okay