DB-Engines 数据库流行度排行
作者：互联网
DB-Engines 排名
趋势图
DB-Engines Ranking 根据受欢迎程度对数据库管理系统进行排名。排名每月更新一次。
阅读更多关于计算分数的方法。
| Rank | DBMS | Database Model | Score | ||||
|---|---|---|---|---|---|---|---|
| Oct 2021 |
Sep 2021 |
Oct 2020 |
Oct 2021 |
Sep 2021 |
Oct 2020 |
||
| 1. | 1. | 1. | Oracle  | Relational, Multi-model  |
1270.35 | -1.19 | -98.42 |
| 2. | 2. | 2. | MySQL | Relational, Multi-model |
1219.77 | +7.24 | -36.61 |
| 3. | 3. | 3. | Microsoft SQL Server | Relational, Multi-model |
970.61 | -0.24 | -72.51 |
| 4. | 4. | 4. | PostgreSQL  | Relational, Multi-model |
586.97 | +9.47 | +44.57 |
| 5. | 5. | 5. | MongoDB | Document, Multi-model |
493.55 | -2.95 | +45.53 |
| 6. | 6. |  8. |
Redis | Key-value, Multi-model |
171.35 | -0.59 | +18.07 |
| 7. | 7. |  6. |
IBM Db2 | Relational, Multi-model |
165.96 | -0.60 | +4.06 |
| 8. | 8. | 7. |
Elasticsearch | Search engine, Multi-model |
158.25 | -1.98 | +4.41 |
| 9. | 9. | 9. | SQLite | Relational | 129.37 | +0.72 | +3.95 |
| 10. | 10. | 10. | Cassandra | Wide column | 119.28 | +0.29 | +0.18 |
| 11. | 11. | 11. | Microsoft Access | Relational | 116.38 | -0.56 | -1.87 |
| 12. | 12. | 12. | MariaDB | Relational, Multi-model |
102.59 | +1.90 | +10.82 |
| 13. | 13. | 13. | Splunk | Search engine | 90.61 | -0.99 | +1.21 |
| 14. | 14. | 15. |
Hive | Relational | 84.74 | -0.83 | +15.19 |
| 15. | 15. | 17. |
Microsoft Azure SQL Database | Relational, Multi-model |
79.72 | +1.46 | +15.32 |
| 16. | 16. | 16. | Amazon DynamoDB | Multi-model |
76.55 | -0.38 | +8.14 |
| 17. | 17. | 14. |
Teradata | Relational, Multi-model |
69.83 | +0.15 | -5.96 |
| 18. | 21. |
64. |
Snowflake | Relational | 58.26 | +6.19 | +52.32 |
| 19. | 18. |
21. |
Neo4j | Graph | 57.87 | +0.24 | +6.53 |
| 20. | 19. |
19. |
SAP HANA | Relational, Multi-model |
55.28 | -0.96 | +1.04 |
| 21. | 20. |
23. |
FileMaker | Relational | 52.84 | +0.52 | +5.46 |
| 22. | 22. | 20. |
Solr | Search engine, Multi-model |
51.17 | +1.36 | -1.31 |
| 23. | 23. | 18. |
SAP Adaptive Server | Relational, Multi-model |
48.59 | +1.57 | -6.58 |
| 24. | 24. | 22. |
HBase | Wide column | 45.20 | +0.14 | -3.16 |
| 25. | 25. | 24. |
Google BigQuery | Relational | 43.79 | -0.13 | +9.38 |
| 26. | 26. | 25. |
Microsoft Azure Cosmos DB | Multi-model |
40.29 | +1.76 | +8.28 |
| 27. | 27. | PostGIS | Spatial DBMS, Multi-model |
31.64 | +0.93 | ||
| 28. | 28. | 28. | InfluxDB | Time Series, Multi-model |
28.52 | -0.98 | +4.37 |
| 29. | 29. | 26. |
Couchbase | Document, Multi-model |
27.91 | +0.23 | -2.41 |
| 30. | 31. |
32. |
Firebird | Relational | 26.03 | +1.20 | +4.92 |
| 31. | 30. |
27. |
Memcached | Key-value | 26.02 | +0.36 | -0.08 |
| 32. | 32. | 29. |
Amazon Redshift | Relational | 24.27 | +0.40 | +1.13 |
| 33. | 33. | 30. |
Informix | Relational, Multi-model |
23.12 | +0.17 | +0.41 |
| 34. | 34. | 33. |
Spark SQL | Relational | 22.94 | +1.07 | +3.47 |
| 35. | 35. | 31. |
Vertica | Relational, Multi-model |
20.31 | -0.14 | -1.61 |
| 36. | 36. | 34. |
Netezza | Relational | 19.62 | -0.20 | +1.18 |
| 37. | 38. |
36. |
Firebase Realtime Database | Document | 19.02 | +1.00 | +2.76 |
| 38. | 37. |
37. |
Impala | Relational, Multi-model |
18.68 | +0.03 | +3.02 |
| 39. | 39. | 47. |
Microsoft Azure Synapse Analytics | Relational | 17.27 | +0.61 | +8.66 |
| 40. | 40. | 35. |
CouchDB | Document, Multi-model |
15.79 | +0.31 | -1.62 |
| 41. | 41. | 38. |
dBASE | Relational | 14.19 | +0.13 | -1.23 |
| 42. | 42. | 39. |
Greenplum | Relational, Multi-model |
13.07 | -0.53 | -0.54 |
| 43. | 43. | 40. |
Presto | Relational | 12.74 | -0.61 | +0.01 |
| 44. | 44. | 44. | Amazon Aurora | Relational, Multi-model |
11.69 | +0.22 | +2.39 |
| 45. | 45. | 55. |
ClickHouse | Relational, Multi-model |
10.68 | +0.05 | +3.63 |
| 46. | 46. | 45. |
etcd | Key-value | 10.19 | -0.13 | +1.38 |
| 47. | 48. |
50. |
H2 | Relational, Multi-model |
9.72 | +0.03 | +1.37 |
| 48. | 47. |
42. |
Hazelcast | Key-value, Multi-model |
9.66 | -0.15 | -0.06 |
| 49. | 49. | 41. |
MarkLogic | Multi-model |
9.43 | -0.16 | -2.30 |
| 50. | 50. | 46. |
Realm | Document | 9.29 | -0.22 | +0.55 |
标签：Multi,Engines,数据库,DB,value,Relational,model,Microsoft 来源： https://www.cnblogs.com/qingzhenduyi/p/15458969.html