Under the Hood

Let’s not waste time here is the list of all databases

SQL Databases

Traditional RDBMS

• PostgreSQL — Advanced, open-source relational database known for its reliability, feature robustness, and performance.
• Oracle — Widely used commercial relational database management system known for its scalability and enterprise features.
• MySQL — Popular open-source relational database known for its speed and reliability.
• SQLite — Lightweight, disk-based database that’s self-contained and serverless.
• Microsoft SQL Server — Commercial relational database by Microsoft, known for its ease of integration with other Microsoft products.
• IBM DB2 — IBM’s enterprise database known for its advanced data management capabilities.
• Amazon RDS — Managed relational database service by AWS supporting several database engines including MySQL, PostgreSQL, and Oracle.

Modern SQL DBs

• CockroachDB — Distributed SQL database built for cloud applications.
• VoltDB — High-performance in-memory SQL database.
• Supabase — Open-source Firebase alternative, offers a backend as a service built on PostgreSQL.
• YugabyteDB — Distributed SQL database for high-performance and cloud-native applications.
• Timescale — Open-source time-series SQL database optimized for fast ingest and complex queries.
• PlanetScale — Serverless database platform built on MySQL and Vitess.
• Neon — Serverless PostgreSQL platform built for the cloud.

NoSQL Databases

Document

• CouchDB — Database that uses JSON to store data and JavaScript for MapReduce queries.
• MongoDB — Document database known for its flexibility and scalability.
• Amazon DocumentDB — Managed MongoDB-compatible database service by AWS.
• Azure Cosmos DB — Globally distributed, multi-model database service by Microsoft.
• Cloud Firestore — Scalable and flexible NoSQL cloud database to store and sync data for client- and server-side development.

Graph

• Dgraph — Distributed, fast graph database.
• Neo4j — Leading graph database platform, known for its performance and scalability.
• ArangoDB — Native multi-model database supporting graph, document, and key-value data models.
• Memgraph — Real-time graph database for streaming data.

Vector

• Pinecone — Vector database for machine learning and AI applications.
• Milvus — Open-source vector database for AI and machine learning.
• Weaviate — Open-source vector search engine.

Time-Series

• InfluxDB — Open-source time-series database.
• DolphinDB — High-performance time-series database.
• TimescaleDB — PostgreSQL extension for time-series data.
• Prometheus — Open-source systems monitoring and alerting toolkit.

Search

• Elastic — Search engine based on the Lucene library.
• Algolia — Hosted search API that provides fast and relevant search results.
• Meilisearch — Open-source search engine that is fast and relevant out of the box.
• Solr — Open-source search platform built on Apache Lucene.

Key-Value

• Redis — In-memory data structure store, used as a database, cache, and message broker.
• Memcached — High-performance distributed memory object caching system.
• Amazon DynamoDB — Fully managed proprietary key-value and document database by AWS.
• KeyDB — High-performance fork of Redis with multithreading.

Multi-Model

• ArangoDB — Native multi-model database supporting graph, document, and key-value data models.
• Fauna — Distributed, serverless database with document, graph, and relational models.
• SurrealDB — Multi-model database for the cloud, edge, and IoT.

Wide Column

• Apache Cassandra — Distributed NoSQL database 
• HBase — Distributed, scalable, big data store.
• ScyllaDB
• Datastax

That's it, see you in the next one
Shrey