In Databases
대규모 서비스에 가장 적합한 데이터베이스는?
AI Visibility Ranking
Brands ordered by GenRank score for this question.
DirectionalQuestion-level figures rest on at most 24 answers per brand, so treat them as direction, not a verdict; the category ranking is the number to judge by. Scores are for the week of 2026-11-08. ± is the 95% confidence interval where the sampling allows one.
| Rank | Brand | Named by | Score |
|---|---|---|---|
| 1 | PostgreSQL | 20/24 | 65.3±8.1 |
| 2 | DynamoDB | 18/24 | 45.0±11.5 |
| 3 | Google Cloud Spanner | 10/24 | 33.0±10.5 |
| 4 | MySQL | 15/24 | 32.5±14.3 |
| 5 | Apache Cassandra | 16/24 | 28.5±5.6 |
| 6 | CockroachDB | 8/24 | 25.3±12.0 |
| 7 | MongoDB | 16/24 | 23.2±5.5 |
| 8 | Redis | 14/24 | 23.0±8.0 |
| 9 | ClickHouse | 10/24 | 19.1±11.8 |
| 10 | TiDB | 7/24 | 18.9±8.0 |
Sources these answers cited
The sites each surface's answer cited this week. The logos are the surfaces that cited the site.
| Source | Oct 25, 2026 | Nov 1, 2026 | Cited by |
|---|---|---|---|
| blog.naver.comportal[참고] MySQL, MariaDB, PostgreSQL 비교 : 네이버 블로그 | 2 | 2 |     4 surfaces |
| aws.amazon.comshoppingAWS의 클라우드 데이터베이스 - 목적별 데이터베이스 - AWS | 2 | 2 | 3 surfaces |
| integrate.io사용 사례에 적합한 데이터베이스는 무엇일까요? | Integrate.io | 3 | 4 | 3 surfaces |
| velog.ioportal[TIL - 230729] - b대용량 트래픽 처리 DB 선정 - 벨로그 | 1 | 2 | 3 surfaces |
| cloud.google.comportalSpanner: Always-on, virtually unlimited scale database | Google Cloud | 2 | 2 |  2 surfaces |
| kr.linkedin.comsocial궁극의 가이드: 2026년에 배워야 할 데이터베이스는 무엇일까요? | 1 | 1 | 2 surfaces |
| postgresql.orgPostgreSQL: About | 1 | 1 | 2 surfaces |
| tilnote.io2026년 무료 데이터베이스 추천 5가지 비교 가이드 - TILNOTE | 1 | - | 2 surfaces |
| yeolco.tistory.comportal가장 많이 사용된 데이터베이스 (DBMS) TOP10 - 2026 최신버전 | 1 | - | 2 surfaces |
| 2gloo.tistory.comportal대규모 트래픽 & 데이터 처리, 왜 필요할까? 대표적인 6가지 방법 | - | - | 1 surfaces |
| blog.tibero.comDB Appliance 선택 가이드: ZetaData와 TDA, 어떤 환경에 적합할까? | - | - | 1 surfaces |
| cassandra.apache.orgApache Cassandra | - | - | 1 surfaces |
20 more
Rank trend
Top 10 brands across editions. Five highlighted; the rest in gray.
| Brand | Oct 25, 2026 | Nov 1, 2026 | Nov 8, 2026 |
|---|---|---|---|
| PostgreSQL | 1 | 1 | 1 |
| DynamoDB | 2 | 2 | 2 |
| Google Cloud Spanner | 3 | 4 | 3 |
| MySQL | 7 | 3 | 4 |
| Apache Cassandra | 11 | 5 | 5 |
| CockroachDB | 6 | 8 | 6 |
| MongoDB | 5 | 7 | 7 |
| Redis | 4 | 6 | 8 |
| ClickHouse | 16 | 19 | 9 |
| TiDB | 8 | 10 | 10 |
| Brand | Oct 25, 2026 | Nov 1, 2026 | Nov 8, 2026 |
|---|---|---|---|
| PostgreSQL | 1 | 1 | 1 |
| DynamoDB | 2 | 2 | 2 |
| Google Cloud Spanner | 3 | 4 | 3 |
| MySQL | 7 | 3 | 4 |
| Apache Cassandra | 11 | 5 | 5 |
| CockroachDB | 6 | 8 | 6 |
| MongoDB | 5 | 7 | 7 |
| Redis | 4 | 6 | 8 |
| ClickHouse | 16 | 19 | 9 |
| TiDB | 8 | 10 | 10 |
| BigQuery | 17 | 11 | 11 |
| ScyllaDB | 12 | 9 | 12 |
| Elasticsearch | 20 | 16 | 17 |
| OpenSearch | 24 | 18 | 18 |
| AWS | 10 | 15 | 20 |
| Amazon Aurora | 9 | 17 | 22 |