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estimated deliver releaseUrgencyImportanceWorkload(month*person)Details
SQL Support2.4 Beta, 3.0 release4512Support mysql connector, with insert, delete, search, aggregate, ddl support
Velox execution engine2.3/2.4446Use velox to execute TableScan, Predicate, aggregation operators
MMap data management2.4343+Load data into disk and mmap for searching. Let Milvus to serve data large than memory 
Hybrid search with BM25 and vector3.0 or later246+Search jointedly with bm25 score and vector distance score
Dynamic schema change3.0456+Add, remove column
Distributed Log store3.0 or later236+Implement distributed log device to replace kafka/pulsar for faster speed and recovery
Add Log Node and remove datanode3.0233+Add log node to handle write/flush, datanode will merge with indexnode and only handle stateless jobs
Dynamic shard change3.0 or later223+Change collection shard number in flight
Change data capture2.3/2.4333+export inserted data to kafka and datawarehouse

Cluster level replication2.4443+replicate data between two clusters for cross datacenter failure recovery
PITR3.0 or later123+replay backup at any time
New persistent format2.3453+Change bin log data format to improve search and recovery speed.
Ranking Support3.0 or later123+Support complex ranking between scalar and vector score with machine learning model
Primary key dedup3.0443+ Dedup or overwrite when user write same primary key
Aggregation 2.3543Support count/groupby with where condition
Complex data type3.0243Support list, set, json datatype and there queries such as IN
GPU2.4/3.0353Support GPU based faiss and graph index
Multi vector support3.0 or later113Need more user scenario 
Condition delete3.0143Delete from xxx where nonPK = ??
Fp16/Bf16 support3.0241+Support BF16 and Fp16 could improve search latency and throught to 2X
Snapshot/Rollback3.0 or later113+Snapshot is cool, but it's not as urgent for now 
Support Quantization for graph index2.4 441+HNSW + PQ/SQ, NGT-PG
Auto Index 2.03.0 133+Smart index parameter tuning
Support Models in Milvus3.0 or later146+Support onnx models to do ranking and other models such as PCA
Data iterator2.4543Iterate through all data with condition in the collection
Spark Connector 3.0 333Combine spark to work with milvus together on offline processing
ScaNN Support2.3 441+Support scaNN in knowhere
Hedged Read2.4 431+ when collection enable multiple replicas, hedged read helps to improve availability and reduce tail latency
Binary vector support3.0241+Support binary vector in graph index
Support null data2.4 243+ Support data to be null

Knowhere/Segcore metrics

2.4 553Support prometheus based metrics collection
Vector as output field2.4 341+Support to retrieve vector field when search
Bulkload with clustering data2.4 243Support clustering data into segment before bulkload
Multi Vector3.0333Support multiple vector field in single entity