Here’s a comprehensive list of database tools, categorized by their use cases:
1. Relational Database Management Systems (RDBMS)
- MySQL
- PostgreSQL
- MariaDB
- SQLite
- Microsoft SQL Server
- Oracle Database
- IBM Db2
- SAP HANA
- CockroachDB
- Amazon Aurora
- Google Cloud SQL
2. NoSQL Databases
Document Stores
- MongoDB
- CouchDB
- RethinkDB
- Amazon DocumentDB
- RavenDB
Key-Value Stores
- Redis
- DynamoDB
- Riak KV
- Aerospike
- Memcached
Columnar Databases
- Apache Cassandra
- Apache HBase
- Google Bigtable
- ScyllaDB
Graph Databases
- Neo4j
- JanusGraph
- ArangoDB
- TigerGraph
- OrientDB
3. NewSQL Databases
- CockroachDB
- TiDB
- NuoDB
- Google Spanner
- MemSQL (SingleStore)
4. Time-Series Databases
- InfluxDB
- TimescaleDB
- Prometheus
- OpenTSDB
- Graphite
5. Search & Analytics Databases
- Elasticsearch
- Apache Solr
- Splunk
- Rockset
- OpenSearch
6. Cloud Databases & Managed Services
- Amazon RDS (Relational Database Service)
- Google Firestore
- Azure Cosmos DB
- Snowflake
- BigQuery
- Redshift
7. Data Warehousing Solutions
- Amazon Redshift
- Google BigQuery
- Snowflake
- Microsoft Synapse Analytics (formerly Azure SQL Data Warehouse)
- Teradata
8. ETL (Extract, Transform, Load) & Data Pipeline Tools
- Apache Airflow
- Apache NiFi
- Talend
- Fivetran
- Stitch
- Matillion
- Singer
9. Database Management & GUI Tools
- DBeaver
- pgAdmin
- MySQL Workbench
- Sequel Pro
- HeidiSQL
- DataGrip (JetBrains)
- Navicat
10. Distributed & Blockchain Databases
- BigchainDB
- Hyperledger Fabric
- Corda
- Fluree
- IPFS (InterPlanetary File System)
Would you like me to categorize these further based on use cases? 🚀
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