Databases — Technology data 2026 | Stack Overflow Developer Survey

Developer Survey 2026

Question

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.

scale
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v2026.1

Data

	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%

Use this data

Citation

Response data is released under the ODbL 1.0, which asks that you attribute it.

Stack Exchange Inc. (2026). “Databases”. Stack Overflow Developer Survey 2026. Licensed under ODbL 1.0. https://survey.stackoverflow.co/2026/technology/data/databases

JSON

Structured for code, with the question, the year and the source url alongside the numbers.

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  "question": "Databases",
  "dataId": "Databases",
  "asked": "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.",
  "year": "2026",
  "url": "https://survey.stackoverflow.co/2026/technology/data/databases",
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    {
      "response": "PostgreSQL",
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    },
    {
      "response": "SQLite",
      "count": 5083,
      "pct": 0.421
    },
    {
      "response": "MySQL",
      "count": 4235,
      "pct": 0.351
    },
    {
      "response": "Redis",
      "count": 3414,
      "pct": 0.283
    },
    {
      "response": "Microsoft SQL Server",
      "count": 3270,
      "pct": 0.271
    },
    {
      "response": "MariaDB",
      "count": 2446,
      "pct": 0.203
    },
    {
      "response": "MongoDB",
      "count": 2297,
      "pct": 0.19
    },
    {
      "response": "Elasticsearch",
      "count": 1784,
      "pct": 0.148
    },
    {
      "response": "Oracle",
      "count": 1135,
      "pct": 0.094
    },
    {
      "response": "Dynamodb",
      "count": 1116,
      "pct": 0.093
    },
    {
      "response": "Supabase",
      "count": 933,
      "pct": 0.077
    },
    {
      "response": "BigQuery",
      "count": 809,
      "pct": 0.067
    },
    {
      "response": "DuckDB",
      "count": 690,
      "pct": 0.057
    },
    {
      "response": "Valkey",
      "count": 603,
      "pct": 0.05
    },
    {
      "response": "Cloud Firestore",
      "count": 582,
      "pct": 0.048
    },
    {
      "response": "Other",
      "count": 575,
      "pct": 0.048
    },
    {
      "response": "H2",
      "count": 564,
      "pct": 0.047
    },
    {
      "response": "Snowflake",
      "count": 542,
      "pct": 0.045
    },
    {
      "response": "Cosmos DB",
      "count": 513,
      "pct": 0.043
    },
    {
      "response": "Databricks SQL",
      "count": 510,
      "pct": 0.042
    },
    {
      "response": "Firebase Realtime Database",
      "count": 504,
      "pct": 0.042
    },
    {
      "response": "Microsoft Access",
      "count": 483,
      "pct": 0.04
    },
    {
      "response": "InfluxDB",
      "count": 432,
      "pct": 0.036
    },
    {
      "response": "Clickhouse",
      "count": 429,
      "pct": 0.036
    },
    {
      "response": "Neo4J",
      "count": 332,
      "pct": 0.028
    },
    {
      "response": "Cassandra",
      "count": 300,
      "pct": 0.025
    },
    {
      "response": "IBM DB2",
      "count": 269,
      "pct": 0.022
    },
    {
      "response": "Amazon Redshift",
      "count": 268,
      "pct": 0.022
    },
    {
      "response": "Pocketbase",
      "count": 129,
      "pct": 0.011
    },
    {
      "response": "Cockroachdb",
      "count": 117,
      "pct": 0.01
    },
    {
      "response": "Datomic",
      "count": 64,
      "pct": 0.005
    }
  ]
}

Markdown

A formatted table, ready to paste into a document, an issue or a prompt.

|  | 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% |

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