Database Development & Management
SQL Databases
SQL Databases
- MySQL → Popular open-source relational database, widely used for web applications.
- PostgreSQL → Advanced open-source relational database with strong support for complex queries and extensions.
- Microsoft SQL Server → Enterprise-level relational database with robust tools for analytics and business intelligence.
- Oracle Database → Feature-rich relational database known for high performance, scalability, and security.
- MariaDB → Community-developed fork of MySQL with improved performance and additional features.
SQL databases are ideal for structured data, consistency, transactions, and enterprise-grade applications.
NoSQL Databases
- MongoDB → A document-oriented database great for handling unstructured or semi-structured data.
- Cassandra → A wide-column store designed for scalability and high availability without compromising performance.
- Redis → An in-memory key-value database, perfect for caching, real-time analytics, and session management.
- Couchbase → A flexible document store that supports SQL-like queries and mobile sync capabilities.
- Amazon DynamoDB → A fully managed serverless key-value and document database that scales automatically.
These databases are designed for speed, flexibility, scalability, and handling massive amounts of unstructured or semi-structured data.
Cloud DBs
- AWS (Amazon Web Services) → Offers RDS (Relational Database Service), DynamoDB (NoSQL), Aurora (high-performance relational DB).
- Google Cloud → Provides Cloud SQL, Bigtable (NoSQL), Firestore, and Spanner (global relational DB).
- Microsoft Azure → Includes Azure SQL Database, Cosmos DB (multi-model), and PostgreSQL/MySQL managed services.
- Oracle Cloud Database → Cloud-based autonomous databases with AI-driven performance and scalability.
- IBM Cloud Databases → Managed DBs for PostgreSQL, Redis, Elasticsearch, and more.
Each of these provides scalability, security, backups, and easy integration with apps—perfect for modern, data-driven businesses.
Analytics DBs
- Snowflake → A cloud-based data warehouse built for performance, scalability, and secure data sharing.
- Google BigQuery → A fully managed serverless data warehouse designed for lightning-fast SQL queries and analytics.
- Amazon Redshift → A powerful cloud data warehouse for large-scale data storage and analysis.
- Azure Synapse Analytics → Microsoft’s analytics service combining big data and data warehousing.
- Teradata Vantage → An enterprise-grade analytics platform for large, complex data workloads.
Analytics databases are built for business intelligence, big data processing, real-time analytics, and data-driven decision-making.
Specialized DBs
- Neo4j → A leading graph database, perfect for relationship-heavy data like social networks and fraud detection.
- Elasticsearch → A powerful search and analytics engine for full-text search, logging, and real-time insights.
- InfluxDB → A time-series database optimized for metrics, IoT data, and real-time monitoring.
- RavenDB → A document-oriented database with strong ACID transactions and built-in data replication.
- Firebase Realtime Database / Firestore → Cloud-hosted NoSQL databases tailored for real-time mobile and web apps.
Specialized databases are designed for specific use cases like search, time-series analysis, graph relationships, and real-time applications.