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| Description |
DB9 is a serverless PostgreSQL-compatible DBMS that uses TiKV for storage. Its target use case is to provide storage layer for agents.
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DB9 is a serverless PostgreSQL-compatible DBMS that uses TiKV for storage. Its target use case is to provide storage layer for agents.
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| History | — | — |
| Start Year | 2026 | 2026 |
| End Year | — | — |
| Twitter URL | @PingCAP | @PingCAP |
| Countries | United States of America | United States of America |
| Former Names | — | — |
| Website URL | https://db9.ai | https://db9.ai |
| Docs URL | https://db9.ai/docs/overview/ | https://db9.ai/docs/overview/ |
| Source Repo URL | — | — |
| Blog URL | — | https://db9.ai/blog/ |
| Wikipedia URL | — | — |
| Tags |
OLTP
Serverless
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OLTPServerless
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| Licenses |
Proprietary
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Proprietary
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| Operating Systems |
Hosted
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Hosted
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| Governance | — | — |
| Project Types |
Commercial
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Commercial
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| Supported Languages | — | — |
| Written In | — | — |
| Coding Agents | — | — |
| Developer Orgs |
PingCAP
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PingCAP
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| Derived From | — | — |
| Embedded Systems |
TiKV
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TiKV
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| Inspired By | — | — |
| Compatible With |
PostgreSQL
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PostgreSQL
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| Hosted Services | — | — |
| Acquisitions | — | — |
| Checkpoints | — | — |
| Compression | — | — |
| Concurrency Control | — | — |
| Coordination | — | — |
| Data Model |
Relational
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Relational
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| Fault Tolerance | — | — |
| Foreign Keys | — | — |
| Hardware Acceleration | — | — |
| Indexes | — | — |
| Isolation Levels | — | — |
| Joins | — | — |
| Logging | — | — |
| Parallel Execution | — | — |
| Query Compilation | — | — |
| Query Execution | — | — |
| Query Interface |
SQL
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SQL
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| Storage Architecture | — | — |
| Storage Format | — | — |
| Storage Model | — | — |
| Storage Organization | — | — |
| Stored Procedures | — | — |
| System Architecture | — | — |
| User-Defined Functions | — | — |
| Views | — | — |