Databases : Popular Databases Systems Across Categories

This guide covers a wide array of database systems, each tailored to specific needs and use cases, from managing structured data in relational databases to processing large-scale unstructured data in NoSQL systems, and performing complex analytics with OLAP databases. For in-depth exploration, refer to the provided links to their official websites.

Relational Databases:

PostgreSQL:

Open-source object-relational database system. More Info

MySQL:

Popular open-source relational database, used in web applications. More Info

MariaDB:

MySQL fork with enhanced features. More Info

Oracle Database:

Commercial enterprise-scale database system. More Info

Microsoft SQL Server:

Database server for complex data solutions. More Info

NoSQL Databases:

MongoDB:

Leading NoSQL for managing unstructured data. More Info

Apache Cassandra:

Scalable NoSQL database for distributed networks. More Info

Redis:

In-memory key-value store for high-speed operations. More Info

CouchDB:

JSON-based NoSQL database. More Info

Neo4j:

Graph database for connected data. More Info

NewSQL Databases:

Google Spanner:

Combines relational structure with NoSQL scalability. Documentation

CockroachDB:

Cloud-native SQL database. More Info

MemSQL (SingleStore):

In-memory database for hybrid workloads. More Info

VoltDB:

In-memory NewSQL database. More Info

Time-Series Databases:

InfluxDB:

Optimized for time-stamped data. More Info

TimescaleDB:

Time-series SQL database. More Info

KDB+:

High-performance column-based database. More Info

Graph Databases:

ArangoDB:

Combines graph, document, and key-value models. More Info

Microsoft Azure Cosmos DB:

Globally distributed multi-model database. More Info

MarkLogic:

Integrates data from silos. More Info

OLAP Databases:

Teradata:

For data warehousing and analytics. More Info

Snowflake:

Cloud-based analytics platform. More Info

Amazon Redshift:

Scalable data warehouse in AWS. More Info

Google BigQuery:

Serverless data warehouse. More Info

SAP HANA:

Real-time in-memory analytics. More Info

IBM Db2 Warehouse:

Analytics and machine learning. More Info

Exasol:

In-memory analytics database. More Info

Greenplum Database:

Open-source for big data analytics. More Info

Vertica:

Data warehousing and big data. More Info

Oracle Exadata:

Optimized for Oracle Database. More Info

Key-Value Stores:

Amazon DynamoDB:

Fully managed NoSQL database service. More Info

Etcd:

Key-value store for distributed systems. GitHub

Document Stores:

Couchbase:

Flexible JSON document handling. More Info

Amazon DocumentDB:

Managed document database service. More Info

Wide-Column Stores:

HBase:

Open-source, scalable, distributed database. More Info

ScyllaDB:

High-performance wide-column store. More Info

Search Engines:

Elasticsearch:

A powerful search and analytics engine, ideal for complex data structures. More Info

Solr:

Open-source search platform, part of the Apache Lucene project. More Info

Sphinx:

Full-text search server, designed for performance and relevance. More Info