Milvus vs Weaviate

Milvus

• Milvus query node runs out of memory when loading large collections(8/10)
• Slow search after restart, scaling or heavy filters(7/10)
• Free Zilliz Cloud cluster first query times out(4/10)

Weaviate

• Performance degrades at scale (18M+ objects)(8/10)
• Memory usage grows heavily with data(7/10)
• gRPC timeout errors during batch imports(5/10)

Milvus

• Search fails with 'collection not loaded' until you index and load(6/10)
• Vector dimension mismatch errors when switching embedding model(6/10)
• Freshly inserted data does not show up in search(5/10)
• Concurrent bulk inserts hit 'DataNode resource not enough'(5/10)

Weaviate

• Reindexing required when adding modules(6/10)
• Cloud console is 'incredibly barebones'(5/10)

Milvus

• Index not exist error after creating a collection(5/10)
• Cluster mode is heavy to run yourself(7/10)

Weaviate

• Steep learning curve for advanced usage(6/10)
• Documentation gaps for AI API access(4/10)

Milvus

• Connection refused or timeout on localhost:19530(6/10)
• etcd and MinIO dependencies cause startup crashes(8/10)

Weaviate

• Data corruption rendered database unusable(9/10)

Milvus

• Zilliz Cloud Dedicated starts at $126/month and scales with vectors(6/10)

Weaviate

• Infrastructure costs escalate with dataset size(5/10)

Milvus

• Many production questions stay open on GitHub(5/10)

Weaviate

No signals

Milvus

No signals

Weaviate

• Integration challenges with existing systems(5/10)