#34 · Primary category： Vector Databases
dingo
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.
Project last updated：07/10/26
GitHub Stars
1.7K
Forks
265
Contributors
38
License
Apache-2.0
Why we included this project
DingoDB is a distributed multi-modal database that treats tables and vectors as equally important data models, so you can search structured rows and unstructured content like PDFs and audio through one MySQL-compatible query language. It speaks the MySQL protocol, letting teams use familiar SQL without wiring together a separate vector store, and it keeps scalar and vector indexes updated in real time as data arrives. The project also includes automatic sharding for horizontal scaling and high availability out of the box, which reduces the operational work of running a mixed workload. Teams already comfortable with relational SQL and Java-heavy stacks will likely find this easier to adopt than most dedicated vector engines.
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