DatabendLabs
🌟 Star us on GitHub | 9.1k+ Stars | 248+ Contributors
2025: A Year of Continuous Delivery
| Metric | Data |
|---|---|
| Releases | 188 times |
| GitHub Stars | 9.1k ⭐ |
| Contributors | 248+ people |
| PRs Opened/Merged | 1593 / 1454 |
Databend has officially evolved from a single data warehouse into a unified Analytics + Search + AI database, serving the data needs of the AI era and tackling the challenges of analysis, search, and intelligence on massive datasets.
Beyond OLAP: A New Positioning
The traditional approach: data warehouses for analytics, Elasticsearch for search, vector databases for embeddings. Keeping data consistent and user experience unified across multiple systems often means 2-3x the operational, development, and synchronization overhead.
Databend's answer: One database to rule them all.
| Capability | Use Case |
|---|---|
| Analytics | Massive data analysis |
| Full-text/JSON Search | Elasticsearch-grade search workloads |
| Vector Search | AI Embedding / RAG applications |
| GEO Search | Geofencing, location analytics |
Built on object storage with a unified engine and unified SQL, your data stays put while capabilities stack up.
Databend Cloud: GA Release, Production-Ready
Now powering leading AI applications in production, including Immersive Translate (serving millions with memory systems) and intelligent real-time recommendations:
- Lightning Fast: < 500ms cold start, compute-storage separation, no warm-up needed
- Cost Cut in Half: Same workload, >50% cost reduction
- Highly Available: 99.95% SLA, cross-region disaster recovery, multi-region active-active
- Security & Compliance: RBAC + DAC fine-grained permissions | end-to-end encryption | SOC2 Type II & GDPR
- Full Observability: Query auditing, real-time monitoring, anomaly detection
v1.3 Coming Soon: One Goal, Done Right
Use one database to truly solve the hard problem of building AI applications on massive data.
From data production, ingestion, and cleaning, to analytics and AI inference—the entire workflow completes within a single database, all expressed in SQL.
Under the hood, we've built a unified optimizer, execution engine, and storage layer on object storage, with capabilities spanning ETL, task scheduling, stream processing, OLAP analytics, full-text search, and vector retrieval.
2026 Outlook: Graph Data × Reasoning Chains
Building on the v1.3 unified foundation, 2026 will introduce graph data capabilities to support the construction and execution of AI reasoning chains through graph relationships.
At that point, Databend will offer complete capabilities on massive data—from storage and analytics to search and relational reasoning. Databend Cloud will package these underlying capabilities into user-friendly products, radically simplifying the data infrastructure for AI applications.
Try it now → Databend Cloud
Subscribe to our newsletter
Stay informed on feature releases, product roadmap, support, and cloud offerings!
