---
title: "Databases — Technology data 2026"
url: https://survey.stackoverflow.co/2026/technology/data/databases
year: 2026
chapter: "technology"
question: "Databases"
section: "Most popular technologies"
licence: "ODbL 1.0 (https://opendatacommons.org/licenses/odbl/1-0/)"
---

# Databases

Ubiquitous Developer Adoption: Bryan Clark (Director of Product for LakeBase at Databricks) recalls observing this massive shift during his time at GitHub: "...inside GitHub, you could see every developer was switching to start using Postgres..." Listen to [his interview](https://stackoverflow.blog/2026/06/09/checkpoints-by-gaslighting-postgres-database/) on the Stack Overflow Podcast.

Asked as: Which database environments have you done extensive development work in over the past year? Which do you want to work in over the next year? If you worked with the database and want to continue to do so, please check both boxes in that row. (`Databases`, scale, optional, v2026.1)

## Options offered

1. BigQuery
2. Cassandra
3. Cloud Firestore
4. Cosmos DB
5. Databricks SQL
6. Datomic
7. DuckDB
8. Dynamodb
9. Elasticsearch
10. Firebase Realtime Database
11. H2
12. IBM DB2
13. InfluxDB
14. MariaDB
15. Microsoft Access
16. Microsoft SQL Server
17. MongoDB
18. MySQL
19. Neo4J
20. Oracle
21. PostgreSQL
22. Redis
23. Snowflake
24. SQLite
25. Supabase
26. Clickhouse
27. Cockroachdb
28. Amazon Redshift
29. Pocketbase
30. Valkey
31. Other, please specify (with free-text entry)

## Results

### All Respondents

n = 12,061

|  | Respondents | Percent |
| --- | ---: | ---: |
| PostgreSQL | 6,984 | 57.9% |
| SQLite | 5,083 | 42.1% |
| MySQL | 4,235 | 35.1% |
| Redis | 3,414 | 28.3% |
| Microsoft SQL Server | 3,270 | 27.1% |
| MariaDB | 2,446 | 20.3% |
| MongoDB | 2,297 | 19.0% |
| Elasticsearch | 1,784 | 14.8% |
| Oracle | 1,135 | 9.4% |
| Dynamodb | 1,116 | 9.3% |
| Supabase | 933 | 7.7% |
| BigQuery | 809 | 6.7% |
| DuckDB | 690 | 5.7% |
| Valkey | 603 | 5.0% |
| Cloud Firestore | 582 | 4.8% |
| Other | 575 | 4.8% |
| H2 | 564 | 4.7% |
| Snowflake | 542 | 4.5% |
| Cosmos DB | 513 | 4.3% |
| Databricks SQL | 510 | 4.2% |
| Firebase Realtime Database | 504 | 4.2% |
| Microsoft Access | 483 | 4.0% |
| InfluxDB | 432 | 3.6% |
| Clickhouse | 429 | 3.6% |
| Neo4J | 332 | 2.8% |
| Cassandra | 300 | 2.5% |
| IBM DB2 | 269 | 2.2% |
| Amazon Redshift | 268 | 2.2% |
| Pocketbase | 129 | 1.1% |
| Cockroachdb | 117 | 1.0% |
| Datomic | 64 | 0.5% |

### 1 - 5 yrs work exp

n = 2,603

|  | Respondents | Percent |
| --- | ---: | ---: |
| PostgreSQL | 1,571 | 60.4% |
| SQLite | 1,213 | 46.6% |
| MySQL | 979 | 37.6% |
| Redis | 675 | 25.9% |
| Microsoft SQL Server | 593 | 22.8% |
| MariaDB | 495 | 19.0% |
| MongoDB | 635 | 24.4% |
| Elasticsearch | 277 | 10.6% |
| Oracle | 248 | 9.5% |
| Dynamodb | 171 | 6.6% |
| Supabase | 323 | 12.4% |
| BigQuery | 148 | 5.7% |
| DuckDB | 138 | 5.3% |
| Valkey | 123 | 4.7% |
| Cloud Firestore | 178 | 6.8% |
| Other | 121 | 4.6% |
| H2 | 125 | 4.8% |
| Snowflake | 96 | 3.7% |
| Cosmos DB | 75 | 2.9% |
| Databricks SQL | 107 | 4.1% |
| Firebase Realtime Database | 163 | 6.3% |
| Microsoft Access | 116 | 4.5% |
| InfluxDB | 99 | 3.8% |
| Clickhouse | 90 | 3.5% |
| Neo4J | 93 | 3.6% |
| Cassandra | 86 | 3.3% |
| IBM DB2 | 53 | 2.0% |
| Amazon Redshift | 46 | 1.8% |
| Pocketbase | 44 | 1.7% |
| Cockroachdb | 38 | 1.5% |
| Datomic | 29 | 1.1% |

### 6 - 15 yrs work exp

n = 4,168

|  | Respondents | Percent |
| --- | ---: | ---: |
| PostgreSQL | 2,560 | 61.4% |
| SQLite | 1,658 | 39.8% |
| MySQL | 1,374 | 33.0% |
| Redis | 1,404 | 33.7% |
| Microsoft SQL Server | 1,013 | 24.3% |
| MariaDB | 789 | 18.9% |
| MongoDB | 802 | 19.2% |
| Elasticsearch | 745 | 17.9% |
| Oracle | 331 | 7.9% |
| Dynamodb | 456 | 10.9% |
| Supabase | 307 | 7.4% |
| BigQuery | 320 | 7.7% |
| DuckDB | 247 | 5.9% |
| Valkey | 215 | 5.2% |
| Cloud Firestore | 198 | 4.8% |
| Other | 190 | 4.6% |
| H2 | 185 | 4.4% |
| Snowflake | 224 | 5.4% |
| Cosmos DB | 195 | 4.7% |
| Databricks SQL | 193 | 4.6% |
| Firebase Realtime Database | 136 | 3.3% |
| Microsoft Access | 111 | 2.7% |
| InfluxDB | 161 | 3.9% |
| Clickhouse | 190 | 4.6% |
| Neo4J | 122 | 2.9% |
| Cassandra | 96 | 2.3% |
| IBM DB2 | 85 | 2.0% |
| Amazon Redshift | 98 | 2.4% |
| Pocketbase | 42 | 1.0% |
| Cockroachdb | 33 | 0.8% |
| Datomic | 12 | 0.3% |

### 16+ yrs work exp

n = 4,751

|  | Respondents | Percent |
| --- | ---: | ---: |
| PostgreSQL | 2,613 | 55.0% |
| SQLite | 1,937 | 40.8% |
| MySQL | 1,691 | 35.6% |
| Redis | 1,265 | 26.6% |
| Microsoft SQL Server | 1,604 | 33.8% |
| MariaDB | 1,072 | 22.6% |
| MongoDB | 752 | 15.8% |
| Elasticsearch | 742 | 15.6% |
| Oracle | 511 | 10.8% |
| Dynamodb | 462 | 9.7% |
| Supabase | 246 | 5.2% |
| BigQuery | 312 | 6.6% |
| DuckDB | 284 | 6.0% |
| Valkey | 243 | 5.1% |
| Cloud Firestore | 175 | 3.7% |
| Other | 244 | 5.1% |
| H2 | 230 | 4.8% |
| Snowflake | 209 | 4.4% |
| Cosmos DB | 225 | 4.7% |
| Databricks SQL | 193 | 4.1% |
| Firebase Realtime Database | 170 | 3.6% |
| Microsoft Access | 223 | 4.7% |
| InfluxDB | 156 | 3.3% |
| Clickhouse | 142 | 3.0% |
| Neo4J | 104 | 2.2% |
| Cassandra | 103 | 2.2% |
| IBM DB2 | 117 | 2.5% |
| Amazon Redshift | 113 | 2.4% |
| Pocketbase | 30 | 0.6% |
| Cockroachdb | 38 | 0.8% |
| Datomic | 14 | 0.3% |

In context: https://survey.stackoverflow.co/2026/technology/data.md