seekdb
SeekDB is an AI-native embedded or server database designed for agent applications. It unifies vector search, full-text search, structured, and semi-structured data in a single engine with a MySQL-compatible SQL interface and ACID guarantees.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | oceanbase/seekdb |
| Owner | oceanbase |
| Primary language | C++ |
| License | Apache-2.0 — OSI-approved |
| Stars | 2.8k |
| Forks | 261 |
| Open issues | 333 |
| Latest release | v1.3.0 (2026-05-25) |
| Last updated | 2026-07-08 |
| Source | https://github.com/oceanbase/seekdb |
What seekdb is
Built in C++ on the OceanBase SQL kernel, SeekDB features async index pipelines (Change Stream) that decouple writes from indexing, two-level HNSW for incremental vector search, and copy-on-write sandboxing (FORK/MERGE). Runs embedded in-process or as a server; compatible with LangChain, LlamaIndex, and Dify.
Get the seekdb source
Clone the repository and explore it locally.
git clone https://github.com/oceanbase/seekdb.gitcd seekdb# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Async indexing introduces a small lag between write commit and vector searchability; verify millisecond jitter tolerance for your agent loop timing.
- FORK/MERGE COW sandboxes are powerful but require careful SQL design; ensure rollback/conflict strategies (FAIL/THEIRS/OURS) align with agent semantics.
- Hybrid queries (vector + full-text + filter) must be carefully tuned; push filters into WHERE clauses to avoid full-table scans.
- Embedded mode runs in-process (no separate server); single-process resource limits may constrain very large agent fleets.
- Python SDK is the recommended integration path; native drivers or REST API coverage unknown.
When to avoid it — and what to weigh
- Distributed cluster deployments — SeekDB documentation does not clearly state distributed cluster support. Single-node server or embedded mode only; scale-out architecture unknown.
- Strict real-time consistency across nodes — Async Change Stream pipeline means indexing may lag writes slightly. Use cases requiring immediate global consistency should verify write-to-index latency SLAs.
- Ultra-high throughput with complex joins — Benchmarks focus on streaming write + vector search; complex multi-table join performance is not documented. May not be optimal for traditional OLTP workloads.
- Mature production at massive scale — SeekDB is relatively young (created Oct 2025, latest release May 2026). Early adoption carries risk; no clear customer case studies or long-term production telemetry provided.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI license allowing use, modification, and distribution under Apache terms. Commercial use is permitted under the Apache-2.0 license without additional restrictions, subject to Apache license compliance (attribution, license text, statement of changes).
Apache-2.0 permits commercial use. However, SeekDB is a young open-source project (< 1 year old) with 2,794 GitHub stars and moderate community activity. No SLA, commercial support, or warranty is mentioned in the data provided. Commercial users should confirm: (1) whether OceanBase Ltd. or community provides paid support; (2) production-grade SLAs; (3) liability / indemnification terms. Evaluate risk tolerance for early-stage infrastructure dependencies.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Strong |
| Assessment confidence | Medium |
No security audit, CVE history, or threat model is disclosed in the data provided. Considerations: (1) SeekDB is young; third-party security review status is unknown. (2) Embedded mode runs in-process; consider code provenance and supply chain risk. (3) Server mode exposes MySQL protocol; standard database security practices (network isolation, authentication, TLS) should be applied. (4) No mention of encryption at rest, key management, or compliance certifications (HIPAA, SOC 2, etc.). (5) Apache-2.0 license includes no security warranty. For regulated workloads (healthcare, finance, PII), perform your own security assessment or wait for community audit reports.
Alternatives to consider
Milvus
Pure vector database with mature ecosystem; SeekDB benchmarks claim 10.7× QPS advantage for streaming write + search, but Milvus has longer production track record and broader industry adoption.
Weaviate
Vector + metadata search with GraphQL API; more mature than SeekDB (longer development history) but less integrated with SQL and agent frameworks. No COW sandbox feature.
Elasticsearch + custom vector index
Build on seekdb with DEV.co software developers
Try SeekDB in 30 seconds—no servers, no setup. Embedded Python library or free 7-day cloud instance. Perfect for agent memory, RAG, and hybrid search.
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seekdb FAQ
Is SeekDB production-ready?
Can I use SeekDB with LangChain or LlamaIndex?
Does SeekDB require a separate server?
How does the async index pipeline affect consistency?
Work with a software development agency
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