BaikalDB
BaikalDB is an open-source distributed HTAP (hybrid transactional/analytical processing) database from Baidu that handles petabyte-scale data with MySQL protocol compatibility. It supports real-time reads/writes, complex analytics via SQL, and full-text search with inverted indices.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | baidu/BaikalDB |
| Owner | baidu |
| Primary language | C++ |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.2k |
| Forks | 175 |
| Open issues | 0 |
| Latest release | v5.0.0 (2026-06-15) |
| Last updated | 2026-06-15 |
| Source | https://github.com/baidu/BaikalDB |
What BaikalDB is
C++ implementation using Raft consensus and RocksDB for storage; MySQL-compatible protocol and SQL dialect enable seamless migration. Provides projections, filtering, aggregation, sorting operators, and fuzzy search; can scan and aggregate hundreds of millions of rows in seconds.
Get the BaikalDB source
Clone the repository and explore it locally.
git clone https://github.com/baidu/BaikalDB.gitcd BaikalDB# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Verify MySQL dialect compatibility with your application SQL; edge cases or dialect differences may require migration effort.
- Plan cluster topology: Raft consensus, replication factor, and node placement impact availability, latency, and resource costs.
- Full-text search requires explicit FULLTEXT KEY index creation; understand indexing strategy for expected query patterns.
- Petabyte-scale deployments demand robust monitoring, backup, and disaster-recovery procedures; test failover scenarios.
- Dependency on RocksDB and braft libraries; track their updates and security patches.
When to avoid it — and what to weigh
- Simple, single-node workloads — If your data fits in one MySQL instance and traffic does not demand distribution, operational overhead and complexity of BaikalDB outweighs benefit.
- Schema-free or unstructured data — BaikalDB is designed for structured data. Document stores or schema-less systems are better suited for NoSQL use cases.
- Strict ACID compliance is non-negotiable — Distributed systems involve trade-offs; verify transaction semantics and isolation levels against your regulatory or data-integrity requirements.
- Minimal operational expertise — Distributed HTAP systems require tuning, monitoring, and troubleshooting skills; lack of enterprise support may leave teams unsupported during incidents.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), an OSI-approved permissive license. Permits commercial use, modification, and redistribution with attribution and explicit liability disclaimer.
Apache-2.0 permits commercial use without royalty or license fee. No proprietary license restrictions stated. However, no warranty or indemnity is provided by the licensor; enterprises should conduct legal review before production deployment and budget for internal operational support or commercial consulting.
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 | High |
| DEV.co fit | Good |
| Assessment confidence | Medium |
No explicit security features, audit logging, encryption, or authentication mechanisms described in provided data. Distributed systems require consideration of: inter-node communication security, access control, audit trails, backup integrity, and network isolation. Conduct security architecture review and threat modeling before production.
Alternatives to consider
TiDB
Similar HTAP distributed database with MySQL compatibility; more mature ecosystem, managed offerings, and active commercial backing—but requires learning TiDB-specific tooling.
Greenplum (or Apache Spark SQL)
MPP analytics engines with strong analytical capabilities; better for read-heavy analytical workloads but less optimized for transactional consistency.
Citus (PostgreSQL extension)
PostgreSQL-compatible distributed database; simpler for teams already invested in Postgres; narrower analytical feature set but strong ACID guarantees.
Build on BaikalDB with DEV.co software developers
BaikalDB offers MySQL compatibility and distributed HTAP capabilities for large-scale workloads. Run a POC with your SQL queries and data volume, assess operational readiness, and verify security posture before committing to production.
Talk to DEV.coRelated on DEV.co
Explore the category and the services that help you build with it.
BaikalDB FAQ
Is BaikalDB production-ready?
Does it support automatic failover and high availability?
Can I use my existing MySQL tooling?
What is the typical deployment size?
Work with a software development agency
DEV.co helps companies turn open-source tools like BaikalDB into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source databases stack.
Evaluate BaikalDB for Your Scale
BaikalDB offers MySQL compatibility and distributed HTAP capabilities for large-scale workloads. Run a POC with your SQL queries and data volume, assess operational readiness, and verify security posture before committing to production.